a brief intro to geodata
Grid coordinate system, like a csv, with references to cells some of them flawed and broken, so what can we do about this?
Vector maps - composed of geometries (vertices and paths), fasterloading, slicker slippy maps
Raster maps - composed of grid cells/pixels with tiles that progressively load, slower to render/zoom
WGS84 for example is a vertical and horizontal datum, commonley used by the Global Posiitioning System (or GPS).
Consider the modifiable areal unit problem present in Flint Michigan’s government analysis of lead-water containment in their city-bounded facilities
Consider the geocoding centroid error problem in PornHub/Buzzfeed’s analysis
New Amsterdam, Suriname
Nieuw Amsterdam, Suriname
Amsterdam, NY, USA
Amsterdam-Zuidoost, Amsterdam, Netherlands
Amsterdam, Hunterdon County, NJ, USA
CSV to Geographic Coordinate Grid, schema for developing reference points, delimiting the world
Issues with the geodesy: http://lyzidiamond.com/geodesy/
How to read maps: http://mjmdavis.com/showing/2017/05/16/how-to-read-maps.html
Datums, projections and coordinate systems: http://lyzidiamond.com/posts/4326-vs-3857
Sweet slides on the geodesy: http://lyzidiamond.com/geodesy/
Transforming a dataset that is off: http://bl.ocks.org/auremoser/6e984c0ff866e04686c8
GDAL is the geospatial data abstraction library, which has a series of command line utilities for translating vector and raster data between formats
Geocoding, that is, rectifying map data in any format to the coordinate system and geography of a 2-D plane can be done in GUI tools like Carto.
Jeo, wordpress theme for geospatial viz: http://geojournalism.org/tracks/jeo-wordpress-theme/
Maybe the most interesting is the flexibility of cartodb, using it as a Postgres data store you can pull data in many formats
European Space Agency
Satellite landing sites around mars
water reshaping the surface of mars, time series data to highlight timeseries mappings of mars
When your software is open source and flexible, people make some pretty interesting maps, and when you support open formats that are not necessarily geospatial ones you get a lot of interesting designs
Road to Nowhere
Point No Point
Dog murder falls
Dr. Andreas Christen at UBC’s Department of Geography/Atmospheric Science Programme to communicate the importance of cities as sources of CO2 emissions and what we can do to monitor and reduce the impact of our carbon footprint. The project will highlight the potential and innovative use of mobile CO2 sensors and also allow people to access the data that describes the CO2 emissions for the city of Vancouver, BC.
To help scientists and informed citizens use the climate data for british columbia. The tools helps people to access the historical climate data for the province as well as the future climate model projections. You can use the tool to see where the climate is going for specific zones of interest.
Write to Bert!: https://twitter.com/bertspaan