FOSS4G Thailand & State of the Map Asia 2023

I delve into the strategic use of historical accident data to identify high-risk zones. This session showcases how the Bangkok Metropolitan Administration has employed GIS analysis on historical accident data to pinpoint areas with a higher incidence of accidents. The insights derived from this analysis inform targeted physical improvements, contributing to a safer urban environment. Additionally, I investigate the power of analyzing retrospective traffic data to identify congestion hotspots. By examining historical traffic patterns, we pinpoint road segments experiencing the highest congestion. This granular understanding enables informed decision-making in urban planning and traffic management, offering practical solutions to alleviate congestion. These insights are derived from GIS and Map API.

The presentation will demonstrate the NLP-geocoding pipeline, utilizing news reports from a specific news agency to generate a sample landslide inventory, with the Philippines as the use case. **Landslide inventories** are important inputs for mapping landslide susceptibility, and for establishing rainfall and earthquake thresholds for landslide triggering. Online news reports comprise a body of largely untapped landslide information. A **natural language processing** (NLP) and **geocoding** pipeline, built on [*Trafilatura*](https://github.com/adbar/trafilatura), [*Spacy*](https://github.com/explosion/spaCy), [*Networkx*](https://github.com/networkx), [*Geopy*](https://github.com/geopy/geopy), and [*Nominatim*](https://github.com/osm-search/Nominatim), uses open source language models ([*en-core-web-\[sm*](https://github.com/explosion/spacy-models/releases//tag/en_core_web_sm-2.3.1)[*/md*](https://github.com/explosion/spacy-models/releases//tag/en_core_web_md-2.3.1)[*/lg\]*](https://github.com/explosion/spacy-models/releases//tag/en_core_web_lg-2.3.1)) and [*Openstreetmap*](https://www.openstreetmap.org/copyright/) data to output structured information about landslides reported in a news article, particularly the inferred dates and locations which are relevant to landslide inventories. The pipeline can be linked upstream to modules which provide URLs to news articles , and downstream to modules which allow further validation by manual or AI-driven methods. This application has the potential to provide accurate landslide dates, as news reports typically have an expressed date stamp for the occurrence of a landslide. It complements remote sensing-based methods which provide site-specific landslide locations but with less accurate dates due to the fixed time intervals and coarse temporal resolution of satellite observations. This work contributes to efforts in landslide mapping and early warning, within the frameworks of disaster risk reduction and climate change adaptation.

The Open Mapping Guru Project, by the Open Mapping Hub Asia Pacific, is a co-developed training and networking initative to catalyze OSM movement building in the region. Through this, we are hoping to motivate new/experienced mappers and connect them to partners, communities, networks that they may support through mapping, training, etc. This session aims to encourage and invite mappers from all over the region to be part of this exciting opportunity to support humanitarian mapping and community work.

Geographic information has improved widely in various fields, especially regarding environmental issues. In particular, plastic waste management has been a pressing problem involving strategic tools and solutions to accelerate the reduction in the open environment. By harshening the problems and dragging what can drive plastic waste to the environment, we developed the idea of spatial information development of real-time, current state, and scenarios of plastic waste information in the city. We define the state of our approach as plastic leakage modelling. Plastic leakage modelling consists of a combination of waste management systems and geographical coverage. The process is included in the open-source database and methodology by enabling open public information. Plastic leakage is emphasized in the sequential steps into three main working phases: waste management analysis, field survey, and mapping analysis. Under the mapping, we enhance the utilization of GIS to combine different studies, such as hydrological modelling, proximity analysis, topographical analysis, and geocoding data. We developed the analysis in a geospatial context based on the local to global scale data into the data generation based on the non-spatial information to enhance the detection of plastic waste. Leakage modelling produced dynamic heatmaps and static distribution in one year of plastic leakage. The hotspot leakage resulted, which defined the vulnerable areas of plastic waste exposure. Therefore, the detected and analyzed hotspot is prominent as the baseline information for the plastic waste regulation on the downstream solutions.

The case of Open Data Telangana showcases how open data can foster greater government-community relationships. Transparency, evidence-based decision-making, collaboration, and economic growth are the pillars on which this initiative stands. As governments around the world recognize the potential of open data to bridge gaps and build trust, initiatives like Open Data Telangana serve as inspiring examples of how data can be harnessed for the collective betterment of societies. By embracing open data, governments can transcend the traditional top-down approach, ushering in an era of shared responsibility and co-creation with the communities they serve. (https://data.telangana.gov.in/) Open data has emerged as a powerful tool for fostering greater relationships between governments and communities. By providing transparent, accessible, and up-to-date information, open data initiatives have the potential to bridge the gap between these two entities, allowing for more informed decision-making, improved accountability, and enhanced collaboration. A notable case in point is the Open Data Telangana initiative, which exemplifies how open data can transform government-community relationships. Open Data Telangana is a pioneering effort by the Indian state of Telangana to make government-held data available to the public in a structured, machine-readable format. This initiative aims to promote transparency, empower citizens, and stimulate economic growth through data-driven innovation. By opening up a vast repository of information spanning various sectors such as health, education, agriculture, and urban development, the government has taken a significant step towards building trust and engagement with its citizens. One of the fundamental ways in which Open Data Telangana enhances government-community relationships is through transparency. When governments proactively release data related to their activities, expenditures, and performance, it builds a sense of trust and credibility among the public. Citizens can scrutinize how public funds are allocated and utilized, leading to a more accountable and responsible government. This transparency reduces the likelihood of corruption and mismanagement, ultimately bolstering the relationship between the government and the community it serves. Furthermore, open data allows communities to engage in evidence-based decision-making. Citizens, researchers, and businesses can access and analyze data to better understand social, economic, and environmental trends. This empowers them to actively participate in discussions about policies and projects that affect their lives. For instance, urban planners can use open data to assess transportation patterns and propose improvements. In this way, open data transforms passive recipients of government services into active stakeholders who contribute to the development of their communities. Collaboration is another key facet of the improved government-community relationship fostered by open data initiatives. As data becomes more accessible, it encourages collaboration between government agencies, civil society organizations, researchers, and entrepreneurs. By working together to analyze data, these stakeholders can devise innovative solutions to complex challenges. This collaborative approach not only enriches the quality of decision-making but also leads to the co-creation of solutions that cater to the unique needs of the community. Open Data Telangana's impact goes beyond immediate transparency and collaboration benefits. It also stimulates economic growth and innovation. Entrepreneurs and developers can use government data as a foundation for creating new applications, services, and products that address societal needs. This not only drives economic activity but also creates a positive feedback loop where economic growth reinforces the sense of community engagement. Telangana's commitment to advancing geospatial data utilization is evident in its collaboration with various stakeholders such as OpenStreetMaps, WEF, UNDP, and many more. This partnership has resulted in an enriched geospatial data offering that addresses the pressing challenges of climate change. Furthermore, the state has harnessed the power of open data to invigorate urban mobility solutions, epitomized by the 'Smart Streets Lab' initiative in conjunction with the World Resources Institute. The various Artificial Intelligence projects. Notably, the World Economic Forum's Agricultural Data Exchange (ADeX) relies on Telangana's open data as a cornerstone for its innovative farmer services platform. Similarly, the UNDP's Data in Climate Resilient Agriculture (DiCRA) project leverages the state's datasets to build anticipatory governance models for future-fit food systems and collaborated with Open Street Maps to develop Lifeline Infrastructure where geospatial datasets such as Hospitals, Blood Banks, Food distribution centers, Fire Stations, Police Stations, Anganwadi Centers, shelter homes and Governments offices details.

The action plan seeks to increase university students' awareness of open-source GIS (OSM) and its benefits, with the goal of producing more qualified mappers. The idea is to include OSM into the geography curriculum, especially in Sri Lanka, where students confront access and resource issues. Middle-class students in Sri Lanka frequently lack computers and continuous internet connectivity, making it harder for them to study and teach OSM. By introducing open-source GIS in geography departments and offering courses on technologies like GIS and OSM, the strategy intends to make university students more efficient mappers. The intention, as a regional ambassador for Asia, is to integrate OSM into the co-curriculum at four colleges in Sri Lanka. The presentation will go through the benefits and engage additional Students. The main reason I am proposing this action plan is that the students at the university should get a clear understanding of OSM and produce more competent mappers. That is, the purpose of my action plan is that students should get a complete understanding of OSM, its benefits, and how to use it. I intend to put forward suggestions to make it a curriculum in the field of geography, especially in our region. In particular, the main reason for me to propose this project is the challenges and obstacles that I faced in our region to acquire knowledge about OSM while I was pursuing my bachelor's degree at my university. That means I didn't get the facilities or opportunities to learn it fully at our university in the beginning. I didn't even have a laptop when I started to learn OSM thoroughly. Especially in Sri Lanka, in my region, the situation of students with various degrees is still the same. We got knowledge about OSM in a thirty-minute Zoom app through the lecturer, Mr. Sudhakaran sir. After that, the websites and participation in the OSM events were the only ways to gain complete knowledge. Therefore, even if various students are interested in learning about OSM, there are not enough resources to learn and teach it. For example, in Sri Lanka, 100–80 percent of the university students are from middle-class families, and not all of them have laptops, even though they are interested in learning. Similarly, students' living places do not have consistent internet, and students could not afford the high cost of internet. If this is a course in a university where students are taught at a specific time, they can use the computer facilities available in the university. Internet facilities can be used. And all students will have an engaging and enthusiastic opportunity. Currently, even though workshops are being held in international communities, only 30 percent of students are regularly involved in them. So the aim of my action plan is to make the university students have a thorough knowledge of this OSM and make them more efficient mappers. So, if these Open-Source GIS in the geography department in universities are implemented as a process and a course on technologies including GIS and OSM, it can bring complete awareness to all the geography students, and various degree opportunities will be available to the talented students. Therefore, as the initial phase of this, as a regional ambassador for Asia, there are currently four YouthMappers chapters in Sri Lanka. Therefore, I intend to take steps to put forward recommendations for incorporating OSM into the co-curriculum at those four universities. So, through my presentation, I would like to present on various topics, such as the benefits and how to involve students more in OSM.

Embark on a three-year exploration through Northern Thailand's remote landscapes in this 25-minute talk at FOSS4G Thailand and State of the Map ASIA 2023. Using an off-road motorcycle and software, I'll unveil how innovative tools have reshaped outdoor mapping in challenging terrains. Discover how our mapping methodologies evolved, leading to significant enhancements in road and outdoor trail coverage. This journey showcases technology's potential to capture accurate data where traditional methods fall short. Explore the transformation of Thailand's highway classification system, powered by collaborative insights. Engage with the practice of community-driven mapping as I share practical approaches for nurturing an outdoor mapping community in Northern Thailand. Join me in this journey of exploration, collaboration, and the boundless opportunities that outdoor mapping presents.

Nowadays, the demand for services that facilitate precise and dynamic location finding has increased exponentially. To meet this need Thus came the idea of ​​developing efficient Place APIs. This session focuses on the conceptual design and development of Place APIs using OpenSearch, a powerful and versatile search engine technology. Its purpose is to develop an efficient API. To facilitate access to location information, locations or other interesting information. as required by developers This session will begin by introducing the concept of the Place API and its importance in modern applications. It focuses on the core features and functionality that these APIs should have. including collecting geolocation data search by keyword, filtering and sorting the results. OpenSearch, known for its flexibility and scalability, is then introduced as a suitable framework for implementing Place APIs due to its ability to handle large datasets and support a wide range of search operations. The implementation section demonstrates a step-by-step process for creating Place APIs using OpenSearch. Code snippets and examples illustrate how to set up the necessary infrastructure, index location-based data, and implement various search functionalities. Evaluating active Place APIs focuses on performance such as response time, query volume, and performance. and the ability to scale Real world scenarios are simulated to illustrate the API's ability to handle concurrent requests and evolving datasets. Comparison analytics with existing location-based APIs Demonstrates the strengths of the OpenSearch-based approach in terms of speed, flexibility, and cost-effectiveness. In conclusion, the session underscores the significance of well-designed and implemented Place APIs in enriching location-aware applications. It emphasizes the power of OpenSearch as a versatile platform for creating such APIs, offering developers the tools needed to create robust, dynamic, and accurate location-based services. By following the guidelines and insights provided in this session, developers can contribute to the advancement of location-based technologies and meet the increasing demand for innovative digital experiences.

Perkumpulan OpenStreetMap Indonesia (POI), in collaboration with the Humanitarian OpenStreetMap Team (HOT) and META, organized a data quality project in 7 countries in Southeast Asia and 1 country in South Asia to improve data quality issues in OpenStreetMap (OSM) from November 2022 until August 2023. We realize that, as crowd-sourced data, OpenStreetMap (OSM) is reliant on volunteers from a variety of backgrounds to contribute and maintain the data. This causes an increase in the amount of data in OSM, which will affect the quality of the data itself. Being free and open, maintaining the quality of the data is imperative to ensure its various uses, especially concerning social and communal needs, may it be humanitarian needs as well as disaster preparation and prevention to succeed. With good information, every individual and community may utilize it to help them make better decisions. The team has been working to track and solve data quality issues from remote mapping projects in MapRoulete. The tasks will be generated into MapRoulette's Challenges for all mappers. At the end of the project, we succeeded in solving more than 27,000 tasks and making 11,000 changesets. Spiky Building in Indonesia had the most faults, with 5,467 tasks fixed, followed by Road Name Gap Check in Vietnam, which had 2,790 tasks fixed.

Public Transportation Mapping is one of the important part OpenStreetMap and less explored area. OSM includes a variety of information about public transportation, such as bus stops, bus routes, and train stations. This information is crowdsourced, and it is constantly being updated by volunteers. In this Presentation mainly, Planning to Kochi Public Trasport Mapping Project https://wiki.openstreetmap.org/wiki/India/Transport/Kochi and Trivandrum PT Mapping Project. https://wiki.openstreetmap.org/wiki/India/Transport/Trivandrum

Dive into the world of PostgreSQL and OpenStreetMap (OSM) data with me as we uncover how PostgreSQL makes working with OpenStreetMap data super simple. In this talk, I'll share my own journey, simple tricks, and challenges I tackled while using PostgreSQL. We've got a cool tool too, called raw-data-api. Imagine it as a super-fast assistant that grabs data from OSM with no hassle. It's like a shortcut that makes our work smoother and faster. We will talk about the performant schema that we come up with in order to organize and manage OpenStreetMap data better. It's like tidying up your room, but for data. I'll spill the beans on this plan so you can use it and make your OSM projects awesome. We will talk about PostgreSQL , PostGIS Tables , Fast API , Osm2pgsql , Custom Schema we use . Currently this Raw data API supplies data for OSM Export tool

Mapping efforts done in Kochi, India to map 25000KM of Transit data into OpenStreetMap. A project showcasing the possibilities of transforming commercial projects for the community benefits. In India, open data is not very widespread. Although the government has policies requiring the sharing of data under an open licence, even for public datasets, this rarely occurs. When it comes to solving larger, more challenging problems like city planning or transportation planning, transit data is extremely complex and quite useful. Around the world, different transit agencies used different methods to save data. As the world and technology developed, the necessity for transit data standardisation grew. Open data is a fantasy in a country of no data, just like transit data in Kochi. The session discusses the work done to use OpenStreetMap to construct transit data for Kochi. The project serves as an illustration of community empowerment because the mapper demonstrated how to use a commercial for the good of society while simultaneously benefiting from it. They also helped the development of open data. As a consequence, the initiative provided 25000+ km of transit lines in Kochi to OpenStreetMap, benefiting 15+ participants both financially and intellectually.

In the past, the installation of GIS applications often encountered challenges regarding the flexibility of services, which were unable to be scaled to accommodate a growing number of users. The interconnection and exchanging of data across services were constrained, and service separation was not feasible. These issues had a significant impact on overall usability. The design and deployment of applications in the form of microservices are gaining popularity and widespread adoption. This approach aims to provide flexibility to the installation process, allowing services to be added or reduced as needed to align with usage requirements. It can subdivide services into smaller units to facilitate installation, following the principles outlined in The Twelve-Factor App (https://12factor.net/). Nowadays, GIS application development has OGC Standards, which are standardized guidelines that define the process of storing and providing geospatial data. These standards encompass a multitude of aspects of geospatial information interoperability. Therefore, the principles of The Twelve-Factor App can be adapted to the design and deployment of GIS applications, ensuring compliance with OGC Standards. This session will elaborate on how the principles of The Twelve-Factor App can be harmonized with OGC Standards, as well as the various technologies selected for the design and deployment of applications.

OpenStreetMap and Wikidata are quite similar projects, not only its goals but both contributors are overlapped in various places around the world. In Taiwan, Wikipedians usually are not interested or can't get used to Wikidata's edit principles, but in contrast, it is a piece of cake for OpenStreetMap contributors. I will also showcase some cases from Taiwan, like the villages, schools, rivers' and address import projects, and these projects' relationship to Taiwan's open government dataset and Open Data Movement.

Advances in weather forecasting and climate science now enable to act before hazards strike rather than investing primarily in humanitarian response after disasters happen. These anticipatory approaches enable more people to receive needed assistance ahead of predictable shocks. Anticipatory action allows humanitarians and affected communities to make informed decisions ahead of a humanitarian crisis – saving time and money; preventing displacement, disease, loss of livelihood; and preserving the dignity of those affected. The availability of accurate information is an integral part in the anticipatory action to take proper decisions within a short lead time period. Disasters has a spatial dimension too. Hence, an integrating spatial dimension in to the data and information is a must to make effective and efficient decisions during humanitarian action. Sri Lanka Anticipatory Action for Disaster Mitigation Project integrated Open Street Mapping tool to create a spatial database. This is prepared with the support of relevant stakeholders. This has enabled to analysis of spatial distribution of vulnerable households across the project locations. This helped decision makers to mobilize more resources to the needy areas during humanitarian action.
Key words: Anticipatory Action, Open Mapping, Data and Information, Resource Mobilization

Governance in OpenStreetMap communities is a pivotal but often underexplored aspect that significantly influences their growth and long-term sustainability. This panel aims to shed light on the crucial role of governance within OpenStreetMap communities and initiate a thought-provoking discussion about its potential impact on community direction and resilience. OpenStreetMap (OSM) communities are vibrant and collaborative ecosystems where contributors, enthusiasts, and organizations come together to map the world. While the focus often centers on mapping data and technical contributions, the importance of governance in ensuring efficient decision-making and equitable representation is equally crucial. This panel discussion seeks to elevate the significance of governance in OpenStreetMap communities and foster a deeper understanding of how it shapes their trajectory. Key points of discussions 1. What does it mean to open mapping communities? 2. How does it affect direction and sustainability, success and failures of the community? 3. What are the challenges / limitations / reservations in building or formalizing governance in open communities? 4. Potential to get clearer idea on what is expected in governance for OSMF local chapters

Overture Maps is a new open data initiative by a consortium of mapping companies - many of which are also involved in OSM. For OSM mappers and data users, Overture might seem like a competing project towards the same goal - a free and complete global geo dataset. Overture released its first datasets in Summer 2023, let's take a look at their data! I'm a long-time developer of OSM tools and an outsider to Overture, and I'll give my perspective on the project's potential: * Putting Overture data on a map using FOSS tools - Tippecanoe, PMTiles, and Planetiler * Overture themes and tags vs. OSM * Differences and similarities in contribution models + licensing * Deep dive on state-of-the-art tools for processing Overture/ OSM + how OSM might adopt efficient storage formats like Parquet * Using Overture as a complement to improve OSM

Grab continues to put unwavering effort into enhancing the quality of OpenStreetMap data in South-East Asia, leveraging abundant local resources and dedicated country-specific mapping teams. The latest development in this ambitious venture is the forthcoming addition of a real-time incident reporting feature. Here, Grab harnesses reports from driver partners to fine-tune the map data further. Although we are only at the inception of this initiative, we're already receiving a significant number of reports addressing the "Turn Restriction", "One-way", "Gate Closed", and "Incorrect Street Name" related map data discrepancies. These reports will pinpoint the exact or nearby location of the reported issue, as relayed by drivers in real-time or when taking detours, along with the reporting date. So, we are using our location resource to verify these and fix the map data issue in OpenStreetMap using available resources. We believe that this data holds immense potential if harnessed collectively through community participation, paving the way to a comprehensive solution. On this note, in the future, Grab aims to make accessible the reported data for review by the community. Grab is going to open real-time incident reports to the community to fix the map data issue on OpenStreetMap.

The address system is a fundamental unit for development initiatives and service delivery. A systematic address system is essential for effective geocoding in Geographic Information System (GIS) which leads better decision making. The current address system of Sri Lanka has created many challenges for geocoding which is the process of converting addresses into geographic coordinate systems. This study discusses the challenges related to the present address system of Sri Lanka through an experimental study conducted through three scenarios. The dataset encompassed a record of 280 reported dengue cases within the administrative area of the Kandy municipal council. As the first scenario, unstructured addresses of dengue cases were trying to find through QGIS software package geocode options and identify the limitations of that process. It uses OpenStreetMap to identify the locations. In the Second scenario, the researcher used focused group discussions to identify the locations of dengue cases. The identification of correct location using these three scenarios were not feasible in a geocoding process of GIS. As a third step combine both two methods and try to figure out the accuracy level. This situation was led by the unstructured addressing system of the country. The study proposes that it is necessary to develop a unique code to identify the exact point of an address in Sri Lanka, without relying on traditional address methods. The new addressing system can be facilitated by the available data collected for the Bimsavia land deed system. Keywords: address system, geocoding, dengue, Sri Lanka, GIS, OpenStreetMap As the first scenario of the geocoding experiment, unstructured addresses of dengue cases were plotted using the available tools of the QGIS software package. In the second scenario, the study arranged the available addresses in a logical order and processed the geocoding query using the ezGeocode in Google sheet. In the third scenario, the researcher used focused group discussions to identify the locations of dengue cases. To accomplish this step, the researcher engaged with public health inspectors (PHI) who conducted on-site visits to the respective locations. And finally identify the accuracy level of these two locations and recognized the issues of these system to identify locations through the unstructured Addressing system,

This is a collaborative workshop where we can bring in a room different OSM community representatives and partners from disaster agencies, CSOs, humanitarian orgs, businesses, etc and connect them with one another. This is an opportunity for partners to understand better the OSM community and vice versa. Hopefully, this workshop can produce more collaboration between the private and the OSM community

Strengthening Resilience through Mapping Emergency Response Routes and Health
Care Facilities
Chimi Dema and Nusrat Jahan Nilima


From Crisis to Resilience: Geospatial Solutions for Climate Change and Disaster
Resilience in the HKH region
Sameera Noori and Dilshad Bano


We Can Show and We Can Tell: Narratives of Mapping Local and Indigenous Knowledge with Community and Youths in Lower Eastern Himalayas Harshit Sosan Lakra

Choosing the right location is crucial for success in the food and beverage (F&B) industry. This study explores how OpenStreetMap (OSM) data, which includes information about restaurants, cafes, and stores, can reveal local food preferences. By using advanced analysis techniques, we extract valuable insights from OSM data to find untapped business opportunities. Through analyzing the density, distribution, and co-location patterns of F&B places on OSM maps, our approach identifies strategic to expand business potential location. We also consider factors like demographics and urban development to improve accuracy and validity of the data. Decision-makers in the F&B sector could use these insights to make informed choice about new branches, minimizing risks and increasing market share. In conclusion, this research presents an innovative way to use OSM data to determine optimal locations in the food and beverage industry. By combining geospatial analysis, data mining, and demographic insights, our approach provides a data-driven solution for identifying the most promising location for business growth.

Urbanization presents opportunities and challenges, with slum areas being a critical concern in many rapidly growing cities. Accurate identification and prediction of slum areas are imperative for effective urban planning and resource allocation. We propose using OpenStreetMap (OSM) Building data to identify slum areas in regions where slum datasets are lacking. The proposed methodology incorporates variable extraction using the "momepy" library to identify and characterize buildings effectively. In this study, we employ a two-stage process. Firstly, we utilize the momepy library to extract pertinent variables that encapsulate geometric and topological attributes of buildings from OSM data. These variables serve as inputs to our machine-learning model. Secondly, a predictive model is developed using machine learning algorithms for regions with known slum areas. This model is then employed to predict potential slum areas in regions with insufficient or lacking slum-related data. Preliminary experiments conducted on real-world datasets demonstrate the effectiveness of our approach. The results underscore the utility of OSM data in slum area detection, showcasing its capacity to bridge data gaps and facilitate proactive urban planning. Furthermore, the proposed approach offers adaptability to various urban contexts, making it a valuable tool for decision-makers and researchers in diverse regions. Additionally, the study contributes to ongoing discussions regarding the reliability of OSM data, especially in challenging urban environments like slums.

Full stack web mapping workshop includes each and every component of Web Mapping. It will mainly focus on the backend development of Map API, Routing API & Geocoding API using the Openstreetmap. The workshop will be divided into 5 modules Module -1: Introduction to Web GIS This module will focus on the basics of web GIS and Enterprise & Open Source Web GIS solutions Module -2: Development Tools This module will focus on different types of web development tools, Postgresql DB, PostGIS, DB tools, and a few other web GIS development tools Module -3: Map Server This module will focus on the Map Servers. A few well-known map servers will be discussed but mainly Tileserver-GL engine will be developed and tested through a live server from scratch in the hands-on segment. Module -4: Routing Engine This module will focus on three types of routing engines. In the hands-on segment, OSRM will be installed and tested through a live server. Module -5: Geocoding Engine This module will focus on the two types of Geocoding Engine. In the hands-on segment, Pelias will be installed and tested through a live server The following individual topics will be covered in high level 1. PostgreSQL 2. PostGIS 3. Tileserver GL 4. OSRM 5 Valhalla 6. Graphhopper 7. Pelias 8. Maputnik

The "Battle of the Best OSM Mobile Data Collection Tool" is a workshop that aims to delve into two cutting-edge mobile data collection tools for OpenStreetMap: Organic Maps and EveryDoor. This workshop will serve as a platform for participants to gain insights, hands-on experience, and a comprehensive understanding of these innovative approaches to OSM data enrichment. By the end of the workshop, participants will not only grasp the technical intricacies but also understand the overarching societal and technological impacts of enhanced OSM data collection. The workshop would feature the usage of two OSM mobile data collection tools, Organic Maps and EveryDoor. The functions of the said tools will be discussed then an actual utilization of them will be performed by the workshop participants. The participants are expected to share their experiences in testing the tools.

Learners will get hands-on experience using OpenStreetMap data for disaster resilience mapping during this 2-hour course. The talk will begin with a brief overview of OpenStreetMap and how this free and open-source geospatial dataset is being used in many impact areas throughout the world. They would subsequently be given the opportunity to brush up on their knowledge of the QGIS interface. Following that, the QGIS plugins will be introduced, and learners will be able to test them out using OpenStreetMap sample datasets. The ultimate goal is to assist learners in understanding the use of open mapping data and tools like OSM and QGIS in various stages of disaster management.

In the ever-evolving landscape of open mapping technology, Bangladesh stands out as a vibrant and engaged community. Over the past few years, YouthMappers has emerged as a transformative force, leaving an indelible mark on this community. This presentation delves into the remarkable journey of YouthMappers and its revolutionary impact on the open mapping sphere in Bangladesh. Discover how this movement is reshaping the way we map, collaborate, and drive positive change. In the ever-evolving landscape of open mapping technology, Bangladesh stands out as a vibrant and engaged community. Over the past few years, YouthMappers has emerged as a transformative force, leaving an indelible mark on this community. This presentation delves into the remarkable journey of YouthMappers and its revolutionary impact on the open mapping sphere in Bangladesh. Discover how this movement is reshaping the way we map, collaborate, and drive positive change.

The YouthMappers Regional Validation Hub Formulation aims to establish a centralized hub for validating mapping data generated by YouthMappers chapters in the region. This is to ensure the accuracy and quality of the mapping outputs before they are endorsed to the YouthMappers Global Validation Hub. The Regional Validation Hub Formulation emphasizes the importance of maintaining data integrity and quality within the YouthMappers network. By establishing a regional hub, YouthMappers in Asia can benefit from a centralized platform for validation, ensuring that their mapping efforts contribute to reliable and impactful geospatial data. The purpose of this workshop is to teach the validation tools of JOSM to the prospective validators in Asia-Pacific. The workshop will cover the following topics: configuring JOSM, fixing common errors and warnings, and getting feedback on proper validation techniques.

KoboToolbox is an open-source data collection, management, and visualization platform that is used by thousands of organizations worldwide in their data needs. It is extremely user friendly and accessible, making it easy to get started quickly. It works offline particularly through its mobile application counterpart, KoboCollect. This workshop aims to teach how to utilize KoboToolbox for collecting and managing data and will cover the following topics: (1) Creating survey forms with KoboToolbox Form Builder; (2) Mobile field data collection with KoboCollect; (3) Data validation and analysis; and (4) Project and team management.

This research aims to investigate women's access to public sanitation facilities in the Sylhet City Corporation in Bangladesh, focusing on the inadequacy of these services due to urbanization. The study uses a mixed-methods approach, including surveys, interviews, and focus group discussions, to assess the situation, identify gender-specific obstacles, and formulate practical solutions. The research aims to raise awareness of gender-related issues, promote inclusivity, advocate for cleanliness, and establish a basis for sustainable viability. The study aims to analyze the complex barriers that hinder women's access to sanitation services and propose evidence-based insights to enhance public sanitation conditions. The awareness campaign aims to increase public awareness and responsibility for gender-sensitive facilities. The proposed case study involved local governmental entities, non-governmental organizations, women's advocacy groups, and urban planning professionals. Ethical integrity is maintained by adhering to informed consent and participant confidentiality. In conclusion, the case study has successfully addressed a significant urban infrastructure deficiency in women's access to public sanitation facilities in the Sylhet City Corporation. By identifying barriers, formulating practical solutions, and advocating for sustainable urban development, the findings and recommendations have the potential to lead to substantial improvements. This comprehensive case study thoroughly investigates the crucial matter of women's access to public sanitation facilities within the jurisdiction of Sylhet City Corporation, Bangladesh. This study extensively examines the distinct obstacles that women face when trying to access sanitary facilities that are clean, safe, and respectful. The primary goal of this research is to promote inclusivity within urban environments. The present case study has successfully demonstrated tangible advancements in the realm of women's sanitation within the urban setting by identifying prevailing disparities, conducting an in-depth analysis of root causes, and proposing feasible remedies. The current situation in the Sylhet City Corporation is characterized by a significant lack of public sanitation services, which is particularly affecting women as a result of the rapid urbanization process. The insufficiency of suitable lavatory facilities disproportionately restricts women's fundamental right to access clean and conveniently situated facilities, resulting in compromised physical and mental well-being, discomfort, and limited freedom of movement. Simultaneously, these gaps serve to sustain gender disparities and insufficient number of public sanitation facilities, thereby substantially compromising the comprehensive welfare of women in urban settings. The primary aims of this case study involve conducting a comprehensive assessment of the present situation, conducting a detailed examination of obstacles specific to gender, developing practical solutions, and executing a persuasive awareness campaign. By utilizing a rigorously planned mixed-methods research methodology, which incorporates surveys, interviews, and focus group discussions, a comprehensive comprehension of the complex array of obstacles faced by women can be attained. Following this, the research presents customized solutions that effectively tackle these challenges. The scope of this case study encompasses an extensive review of existing literature that establishes a solid theoretical framework. It also includes the use of precise data gathering methods, such as surveys and qualitative methodologies, to collect relevant information. A thorough data analysis is conducted to identify trends and gaps in the research. Ultimately, this study aims to provide practical recommendations that can be implemented immediately. The fundamental basis of these proposals is to cultivate an increased awareness of gender considerations, enhance inclusivity, guarantee cleanliness, and establish the foundation for long-term sustainability. Simultaneously, an impactful awareness campaign has been implemented to foster collective consciousness and engage stakeholders and the general public in recognizing and tackling the urgent requirement for gender-inclusive sanitary facilities. The potential outcomes of this carefully planned and executed case study are diverse and complex. The main aim of this study is to thoroughly analyze the complex obstacles that hinder women's ability to access sanitation services in the Sylhet City Corporation. By leveraging data-driven insights, the recommendations of the study can be effectively incorporated by local authorities and stakeholders to enhance public sanitation conditions. Concurrently, the awareness campaign seeks to cultivate a shared sense of accountability and enhance public awareness regarding the essential requirement for sanitary facilities that accommodate gender-specific requirements. The case study is conducted with careful planning and executed over a specified duration of 8 months. It was supported by a well-allocated budget that covered expenses related to research, campaign materials, and efficient project management. The establishment of collaborative synergy has been a fundamental aspect, which includes the enthusiastic participation of local governmental entities, non-governmental organizations, women's advocacy groups, and urban planning experts. The collaborative efforts undertaken have effectively contributed to a comprehensive approach, thereby augmenting the study's capacity to attain transformative results. Maintaining ethical integrity has been a crucial aspect in the preservation of this case study. The study has demonstrated its ethical dedication by strictly adhering to rigorous standards of informed consent and ensuring the protection of participant confidentiality throughout all stages of the research process. In conclusion, the case study has effectively addressed a notable deficiency in urban infrastructure by investigating the complex connection between women and public sanitation in Sylhet City Corporation. Through a comprehensive examination of obstacles, development of practical remedies, and successful dissemination of knowledge, this research has significantly contributed to the establishment of an urban setting marked by fairness, welfare, and inclusiveness. The findings and recommendations presented in this study provide a solid foundation for promoting significant advancements in enhancing women's access to secure and dignified sanitary facilities, as well as fostering sustainable urban development.

we are planning to present our activities from last year to the present.

As traditional fossil fuels become increasingly scarce, the prioritization of renewable energy sources, like solar power, has gained significant importance in today's global landscape. This research introduces a novel method for simulating solar radiation across rooftops at Paschimanchal Campus, utilizing Photogrammetry and Geographic Information System (GIS) techniques to estimate solar photovoltaic (PV) potential. The approach employs an object-based technique to accurately extract and categorize buildings, leveraging high-resolution data such as orthophotos, UAV-derived Digital Surface Models, and Digital Terrain Models. To ensure precise projections of solar panel efficacy, it is crucial to evaluate solar radiation, with the conversion of this radiation into solar PV potential contingent on the panel's technical attributes, such as whether it employs monocrystalline or polycrystalline technology. Consequently, a comparative analysis is conducted, pitting the calculated expense of solar panel implementation against the cost of grid-based electricity within the study area. The findings reveal that among the buildings' rooftops, 18 locations are exceptionally suitable for solar panel deployment, offering a combined usable area of 4303.67 square meters. In terms of power generation, the study area is projected to produce 868 MWh/yr and 1274 MWh/yr using polycrystalline and monocrystalline technologies, respectively. Remarkably, just 1428.42 square meters of the identified suitable area would suffice to meet Paschimanchal Campus's annual energy requirements. In the case of polycrystalline technology, approximately 876 panels are needed, with an associated cost of NRS.1,57,68,000. Through a cost analysis spanning a decade, the study concludes that solar energy is poised to outperform grid-based electricity by NRS.1,04,10,785, thereby emerging as a more cost-effective and sustainable energy alternative.

This research presents a comprehensive analysis of coastlines using OpenStreetMap (OSM) data and Sentinel satellite imagery. The research uses these two distinct yet complementary data sources to improve understanding and decision-making in coastal management and monitoring. The comparison of coastlines is a critical endeavor in geospatial analysis, essential for evaluating changes caused by natural processes and anthropogenic influences. The research investigates discrepancies and congruencies in coastline delineations using the rich dataset of OSM, a collaborative mapping platform, and high-resolution multispectral imagery from Sentinel satellites. Through a systematic assessment, the study underscores the strengths and limitations of each data source. OSM, which is powered by volunteer contributions, provides fine-grained details but is influenced by data availability and update frequency. Sentinel imagery, on the other hand, provides a comprehensive view of the coastal landscape but necessitates specialized processing for accurate coastline extraction. Furthermore, the research introduces the use of OpenStreetMap data as a reference dataset for validating the accuracy of Sentinel-derived coastlines. Using spatial analysis techniques, the study quantifies deviations and assesses the overall precision of Sentinel-derived coastlines. Normalized Difference Water Index (NDWI) is used to derive the coastline of the Capital City of Indonesia, Jakarta. There are four years data starting 2017 to 2020. The findings of this research contribute to a more informed approach to coastline analysis by combining the crowd-sourced nature of OSM and the technological prowess of Sentinel satellites. The findings have implications for coastal management, disaster preparedness, and environmental assessment, guiding policy and planning efforts. Finally, this study provides a thorough comparison and evaluation of coastlines using OpenStreetMap data and Sentinel imagery. The combination of these data sources highlights the importance of collaborative mapping and remote sensing in furthering our understanding of dynamic coastal environments. Keywords: Coastline comparison, OpenStreetMap, Sentinel imagery, geospatial analysis, remote sensing, coastal management, environmental assessment, spatial analysis.

In geospatial analysis, OpenStreetMap (OSM) data have become essential for urban planning, environmental assessment, and location-based services. However, these tasks often require a complex interplay between human expertise and technical tools. To bridge this gap, we present OSM-GPT, a groundbreaking opensource tool that seamlessly integrates artificial intelligence, particularly the ChatGPT API, into the geospatial domain. This fusion enables users to effortlessly generate OSM queries, extract OSM data, and visualize it in a custom and interactive manner. ## Key Features: **AI-Powered Query Generation:** OSM-GPT's hallmark feature is its ability to generate OSM queries via the ChatGPT API. Users can simply describe their requirements, such as "get all buildings" or "extract road networks", and OSM-GPT will transform these descriptions into actionable queries. **Effortless Data Extraction:** Overpass API is used to retrieve OSM data using the queries generated by OSM-GPT. Each query generates a dedicated layer, simplifying data management and enhancing the visualization experience. **Manual Query Support:** While AI-generated queries are a highlight, OSM-GPT also caters to users familiar with OSM query syntax. This enables the manual input of queries for extracting specific OSM data, ensuring flexibility and catering to a wide range of user expertise levels. **Custom Layer Creation:** To offer a comprehensive view of the data, OSM-GPT empowers users to customize layer colors. This characteristic improves the distinction of data and assists in effectively conveying valuable insights. **Selective GeoJSON Downloads:** OSM-GPT enhances data utilization by allowing users to download GeoJSON files tailored to their needs. Users can choose to download only polygons, lines, points, or all features. ## Future Prospects OSM-GPT's roadmap includes plans to introduce custom layer overlay functionality. The integration of users' own spatial data with OSM extracts will facilitate dynamic and insightful visualizations. ## Use Case Scenario: In times of disaster, OSM-GPT can be a lifesaver. It quickly figures out where buildings, roads, and hospitals are in the affected area without volunteers spending time searching. These key details are then displayed on a map, helping responders decide where to send help and where there are clear roads. Volunteers don't need to worry about complicated queries; they can focus on taking action. **In conclusion**, OSM-GPT marks a groundbreaking advancement in making geospatial discovery and analysis accessible to a wider audience. By integrating AI capabilities with OSM data manipulation, the tool streamlines the process of query generation, data extraction, visualization, and customization. It empowers users of varying technical backgrounds to harness the power of geospatial data and transform it into actionable insights. Demo: [https://dub.sh/osm-gpt-demo](https://dub.sh/osm-gpt-demo) Source Code: [https://github.com/rowheat02/osm-gpt](https://github.com/rowheat02/osm-gpt) Try OSM-GPT: [https://dub.sh/try-osm-gpt](https://dub.sh/try-osm-gpt)

HasiruAqua is a startup that is committed to providing next-generation technology to the agriculture and aquaculture ecosystem under low-cost or affordable business models that enrich the lives of farmers and consumers. Our two-fold mission is to improve the lives of farmers through economic transformation and to improve the quality of nutrition that citizens consume. We've been working on revolutionizing the way of cultivating and consuming fish.Current practices of harvesting from natural sources are not only causing severe ecological damage but are also unsustainable and leading to reduced supply and increased pricing. HasiruAqua cultivates safe, hygienic fish by partnering with farmers and using technology. We offer farmers a "Full-Stack Fish Farming" service that helps them through the entire cultivation journey. We sell this produce to distributors, exporters and D2C brands at competitive rates and share profits with the farmers. Thus we are able to create an endless supply of farmed fish and help the farmer increase his annual income. Integrating open mapping tools we have mapped 20k ponds which can help grow 20,000 tons of fish and other aquaculture products per year and increase the farmer income by 45% year on year. Combining Open Street Mapping tools and Hasiru Aqua technology data we can provide Anticipatory Action for Disaster Mitigation for farmers which will help reduce the risk of losing produce.