Find - Buildings in San Jose, Guaviare province (1)

Find
Active
Colombia
HOT
Jul 1, 2024
Find - Buildings in San Jose, Guaviare province (1)

Project overview

Mapping in areas of high multidimensional poverty is of crucial relevance, as women play an essential role in indigenous populations, and contribute significantly to social cohesion, cultural preservation and community sustainability. In addition, women in indigenous communities are transmitters of local knowledge and assume fundamental responsibilities in the management of natural resources and environmental preservation. Women's active participation in their communities strengthens resilience in the face of socioeconomic and environmental challenges. In the context of the Amazon, mapping becomes critically important when considering vulnerability and the need to preserve valuable natural resources. When women in these communities have detailed information of their surroundings, it facilitates strategic planning against threats, and contributes to the implementation of adaptation and protection measures, to ensure the long-term survival of the region and its population.

4682
km2
101
Contributors
Project Completion
22% completed
020406080100Jul 10, 24Jul 11, 24Jul 12, 24Jul 13, 24Jul 14, 24Jul 15, 24
Last updated: Jul 15, 2024, 11:28:55 PM

Download the data

Below you'll find the data downloads for this MapSwipe project, including a GeoJSON file that can be imported into the HOT Tasking Manager for more detailed mapping of the area. If you need more information or if you have a special request related to MapSwipe data get in contact with the team at the Heidelberg Institute for Geoinformation Technology
Aggregated Results
Aggregated Results. This gives you the unfiltered MapSwipe results aggregated on the task level. This is most suited if you want to apply some custom data processing with the MapSwipe data, e.g. select only specific tasks. Check our documentation for more details. (Note that you need to unzip this .gz file before you can use it.)
csv
3.8 MB
Download
Aggregated Results (with Geometry)
Aggregated Results. This gives you the unfiltered MapSwipe results aggregated on the task level. This is most suited if you want to apply some custom data processing with the MapSwipe data, e.g. select only specific tasks. Check our documentation for more details. (Note that you need to unzip this .gz file before you can use it.)
geojson
3.9 MB
Download
HOT Tasking Manager Geometries
This dataset contains shapes that are ready to use in the HOT Tasking Manager. Currently, the geometries consist of maximum 15 MapSwipe Tasks, where at least 35% of all users indicated the presence of a building by classifying as "yes" or "maybe"
geojson
0.5 MB
Download
Moderate to High Agreement Yes Maybe Geometries
This dataset contains all results where at least 35% of users submitted a "yes" or "maybe" classification. The output dataset depicts the union of all selected results.
geojson
1 MB
Download
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
csv
5.7 kB
Download
History
History
geojson
0.8 kB
Download
Results
This gives you the unfiltered MapSwipe results. (Note that you need to unzip this .gz file before you can use it.)
csv
0.7 MB
Download
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
csv
5.4 MB
Download
Users
This dataset contains information on the individual contributions per user. This tells you for instance the most active users of this project. (Note that you need to unzip this .gz file before you can use it.)
csv
3.6 kB
Download
Area of Interest
This dataset contains information on the project region.
geojson
1.6 kB
Download

Our license

This project is part of the OpenStreetMap community. The goal is high-quality geographical data, freely accessible and available to everyone. OSM’s reciprocal license protects the data from being appropriated by services that do not share back to OSM.

MapSwipe is released under a "liberal" non-reciprocal license (Creative Commons Attribution). Whenever you want to use the data, just make sure to credit the MapSwipe contributors.