Home | Resources
Social Sciences
A Sociology Experiment: An online course reader in sociology, priced at $1 per chapters.
A Sociology Experiment: An online course reader in sociology, priced at $1 per chapters.
QGIS
Layout Hub: A collection of map templates for QGIS.
Awesome Tweet #1: Creating blending shadows quick and easy in QGIS!
Creating an animated smoke map: Using layers created in QGIS to create animated data representation; really cool!
Globe Builder: Github repo of the Globe Builder Plugin in QGIS to...build a frickin' globe in QGIS! Screw flat planes!
How to make a 3D population density render for any country in the world: This guy is showing you how to create beautiful relief maps of population density using QGIS and Aerialod. Bruh.
Layout Hub: A collection of map templates for QGIS.
Awesome Tweet #1: Creating blending shadows quick and easy in QGIS!
Creating an animated smoke map: Using layers created in QGIS to create animated data representation; really cool!
Globe Builder: Github repo of the Globe Builder Plugin in QGIS to...build a frickin' globe in QGIS! Screw flat planes!
How to make a 3D population density render for any country in the world: This guy is showing you how to create beautiful relief maps of population density using QGIS and Aerialod. Bruh.
Data Visualisations
mapzilla tutorials: Super nifty tutorials on map-making using Houdini, a 3D procedural FX software. Houdini Apprentice is available for free to download.
mapzilla tutorials: Super nifty tutorials on map-making using Houdini, a 3D procedural FX software. Houdini Apprentice is available for free to download.
Just cool data things
Introducing the Mapillary Planet-Scale Depth Dataset for Single-View Depth Estimation: This blog post explores how to estimate depth of field from Mapillary's street-level imagery.
Papers with Code: Links to scientific papers with code provided. A gold mine to learn, replicate, and innovate for data projects.
Introducing the Mapillary Planet-Scale Depth Dataset for Single-View Depth Estimation: This blog post explores how to estimate depth of field from Mapillary's street-level imagery.
Papers with Code: Links to scientific papers with code provided. A gold mine to learn, replicate, and innovate for data projects.
R
Spatial Autocorrelation: Documentation with examples on how to conduct spatial autocorrelation in R.
Working with Large Spatial Data in R: Blog post by Rob Williams about loading large spatial dataset with R and SQL.
tidyowl: Learning to draw the owl in the tidyverse: An awesome repo of intermediate tidyverse lessons.
Big Book of R: Learn R here!
Geocomputation with R: So this is like learning R but by doing GIS.
Tidy Geospatial Networks in R: GIS in R isn't enough. Do some network analysis too while you're at it!
Spatial Autocorrelation: Documentation with examples on how to conduct spatial autocorrelation in R.
Working with Large Spatial Data in R: Blog post by Rob Williams about loading large spatial dataset with R and SQL.
tidyowl: Learning to draw the owl in the tidyverse: An awesome repo of intermediate tidyverse lessons.
Big Book of R: Learn R here!
Geocomputation with R: So this is like learning R but by doing GIS.
Tidy Geospatial Networks in R: GIS in R isn't enough. Do some network analysis too while you're at it!
Stats
Statistical Rethinking: A Bayesian Course (with Code Examples in R/Stan/Python/Julia): Learn Bayesian stats here!
Statistical Rethinking: A Bayesian Course (with Code Examples in R/Stan/Python/Julia): Learn Bayesian stats here!
Python
just-pandas-things: Chip Huyen's repo on getting started with Python pandas. Great stuff, especially for beginners.
just-pandas-things: Chip Huyen's repo on getting started with Python pandas. Great stuff, especially for beginners.
Useful Appliances
Free KMZ to SHP to GeoJSON Online Converter: Self explanatory. Super handy when dealing with those pesky KMZ files.
OpenLayers: Have you ever cried yourself to sleep because you didn't have open-layers to export into your GIS project. Well look here bucko!
Free KMZ to SHP to GeoJSON Online Converter: Self explanatory. Super handy when dealing with those pesky KMZ files.
OpenLayers: Have you ever cried yourself to sleep because you didn't have open-layers to export into your GIS project. Well look here bucko!