Track A

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

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.

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.

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

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.

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,