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Data and Maps

OpenDataCamp Bangalore, March 2-3

Sajjad Anwar and Kaustubh Srikanth

3 hour workshop on Open Geospatial Data and Making Maps


Outline

  1. Data - formats, cleaning. - 1/2 hour

    1. CSV, JSON.
    2. Google Refine
    3. Python - csv, json, pandas
    4. SQL.
  2. Geographic data - sources, storage, representation - 1 hour

    1. Sources: (exhaustive list: http://datahub.io/group/geodata,

      1. OpenStreetMap
        1. Country wide: http://download.geofabrik.de/openstreetmap/
        2. Metros: http://metro.teczno.com/
      2. Natural Earth http://www.naturalearthdata.com/downloads/ (Raster and Vector map data on different resolutions)
      3. GeoNames http://geonames.org (Daily data dump and a web service)
      4. Landsat http://landsat.gsfc.nasa.gov/ (Landsat data have been used to monitor water quality, glacier recession, sea ice movement, invasive species encroachment, coral reef health, land use change, deforestation rates and population growth.)
      5. Administrative Areas: GADM http://www.gadm.org/
    2. Storage:

      1. SHP
      2. KML
      3. GPX
      4. GeoJSON
      5. PostgreSQL + PostGIS
    3. Representation:

      1. Web
  3. Data on maps - TileMill, GeoCommons.com, Leaflet.js, FieldPapers. 1.5 hours

    1. Fieldpapers.org
    2. JOSM(http://josm.openstreetmap.de/), Potlatch(http://wiki.openstreetmap.org/wiki/Potlatch_2), iD(https://github.com/systemed/iD).
    3. D3.js
    4. Kartograph.js
    5. Leaflet.js
    6. GeoCommons - http://geocommons.com/
    7. Google Docs geocoding and GeoJSON - https://github.com/mapbox/geo-googledocs
    8. QGIS - http://www.qgis.org/
    9. TileMill - http://mapbox.com/tilemill/