Global Layered Administrative Distrcits Map Create country boundary and administrative district maps for sharing via GEOJSON service.
Global Humanitarian agencies engaged in transitional environments that have experienced some sort of shock: natural disaster, economic collapse, or conflict.
One of the problems they are facing right now is the insufficient systems for managing mapping data. The incomplete or incorrect maps, and admin layer data can be costly, even dangerous. The lack of timely data and information impacts decision making and coordination with other organizations.
As an example, in April 2015 when the intense earthquake hit Nepal emergency response teams moved to the affected regions of the country, where they were coordinating with multiple local and international Organizations, to serve communities and beneficiaries.
The team members realized that some of their help actions were inefficient due to errors and discrepancies they found in their maps. In consequence, they had to meet with developers and local communities to update the maps, so that they could reach the beneficiaries as it was planned from the beginning. The whole process took weeks.
We proposed an open source collaborative mapping tool that allows users to share and update admin boundaries for each of the affected countries works. This tool is a central map service that contains a GEOJSON based data feed and transforms Shapefiles and KML and stores them in a central GIS database. It has a searchable map interface that allows users to coordinate with other organizations and donors where they are working and areas that are underserved.
On mac -
brew install gdal
Usingogr2ogrwe can convert files to GeoJson
ogr2ogr -f "GeoJSON" {target_file}.json {source_file}.{gdbtable/shp/any geo format}
More details (courtesy SARA SAFAVI) - http://slides.sarasafavi.com/gdal/#/
http://techslides.com/demos/d3/d3-geo-renderer.html
If GeoJson exists for your country, then you will have to delete it manually. This is not done by script to avoid delete horrors as update might turn in an empty file. GeoJson files are stored and present at $PROJECT_HOME/data/*.json. File format is {country code}_adm{2/3}.json example AFG_adm2.json. Country code is ISO ALPHA-3 Code. And adm2 and adm3 defines granularity level of map.
cd $PROJECT_HOME/app/pypython download_and_convert_one.py <country code>
Successful execution example-
$ python download_and_convert_one.py
Usage -
python download_and_convert_one.py <country code>
EXAMPLE -
python download_and_convert_one.py AFG
$ python download_and_convert_one.py AFG
Processing country AFG
Trying path - http://biogeo.ucdavis.edu/data/gadm2.8/shp/AFG_adm_shp.zip
Saved in - ../tmp/AFG_adm_shp.zip
Saved ../tmp/AFG_adm2.shp
ogr2ogr -f "GeoJSON" ../data/AFG_adm2.json ../tmp/AFG_adm2.shp
Finished execution
cd $PROJECT_HOME/app/pypython download_shape.py# Downloads and extracts all shape filespython convert_to_geojson.py# Uses ogr2ogr for converting files to geojson
usage -
python query_geojson.py COUNTRY_ISO_CODE ADM_LEVEL_1 ADM_LEVEL_2 ADM_LEVEL_3
example for Afganistan and Ethopia -
python query_geojson.py AFG Badakhshan Ishkashim
python query_geojson.py ETH 'Afar' 'Afar Zone 1' Afambo
Example -
cd $PROJECT_HOME/app/pypython query_geojson.py IND 'Uttar Pradesh' Bijnor Dhampur
We use git lfs to manage large sized json files. In future we can create a zipped folder for all files and use docker to deploy app
- Navigate to the intended folder for deployment
- Run the following commands:
sudo apt-get install python-pip
git clone https://github.com/toladata/GLADMap.git
pip install -r requirements.txt
unzip app/static/data
python run.py
- The server starts running
- Navigate to http://0.0.0.0:5000/ to see the landing page
- Navigate to http://0.0.0.0:5000/globe to see the globe version
/export-geojson/<iso_code>/<ADM_LEVEL_1>/<ADM_LEVEL_2>/<ADM_LEVEL_3>
Example -
http://localhost:5000/export-geojson/USA/California///
http://localhost:5000/export-geojson/IND/Uttar%20Pradesh/Bijnor/Dhampur
Screenshot:
