Working with Data
Sumandro C, Sajjad A, Shashank S
Aug 3-5, Chennai.
Day 1, August 3
What is data? What is open data? What is spatial data?
What is ‘data format’? In what forms do data come?
- Data, data formats, files, databases, indexes. Storage, retrieval.
What can be done with data?
- Community informatics, environmental governance <-- how can data support such initiatives
- MapKibera and other examples of map-based advocacy/storytelling
Working with quantitative data
- Statistical tools, visualisation tools
- Scraping - Screen, web scraping. Ethics. Storage.
Working with spatial data
- Spatial data: vector/raster
- Field level collection and remote sensing imagery <- in the context of GIS
Discussion and installing softwares
Day 2, August 4
What is data visualisation?
Tools and methods of data collection
- Survey of all kinds of data - social and ecological
- GPS technology - History, satellites, coverage, devices, restrictions. Crowdsourcing - mobile, social media. Web/paper based forms, interviews. Online Petitions, campaigns.
- Ushahidi, Google Public Alerts, Sahana, Humanitarian OpenStreetMap team.
- Common Alerting Protocol
Tools for data visualisation
Tools for geo-spatial visualisation
- GRASS, QGIS, GeoCommons, Google stack
- Web map paradigms, tiles, tile servers, map style sheets. TileMill, MapBox, Geocommons
Hands-on: QGIS, GeoCommons, Google Refine, Gnumeric, Inkscape
Day 3, August 5
Using a GPS device
- History, satellites, coverage, devices, restrictions
- Operational instructions.
OpenStreetMap - Collect, Edit, Consume.
- OSM, Potlach, JOSM, Walking Papers, Visualization.
Google Map Maker, Google Earth, Google Maps.
- Using GoogleMaps to create maps with custom markers, MapMapker and annotating Google Maps, Google Earth
GIS and geo-visualisation
Web-based data visualisation
All the slides and the associated data are under CC-BY-NC-SA