Links as I find them relating to various geospatial coding routines, methods, plotting and data standards. I’ve also included links to a few threads from Stack Exchange relating to useful Q&A. This page will be continually updated.

## R

Raster data in R - another take

Raster data in R - yet another take

Robin Lovelace - lots of useful SPATIAL things

Spatial data in R: Using R as a GIS

Geospatial data in R and beyond!

Fifty ways to draw a volcano using package plot3D

Mapping in R using the ggplot2 package

R vs. Python Numpy equivalents

### R online books

## Python

Python data science - book online

NumPy Basics: Arrays and Vectorized Computation < Data processing using arrays section is very useful

Bokeh - a wrapper for JavaScript type plotting

Advanced plotting with matplotlib

### Pandas

### Geospatial (various languages)

K nearest neighbours in Python

Installing GDAL (and OGR) for Python on Windows

GIS with Python, Shapely, and Fiona

## Rasters

Fill NA areas of rasters (GDAL)

## Geostats

Extending info on spatial data fields

Spatial interpolation of geographical data in R

Variography with gstat and ggplot2

A Practical Guide To Geospatial Mapping

A Practical Guide to Geostatistical Mapping of Environmental Variables

Applied Spatial Data Analysis with R

## Geospatial related analyses

Intro to planetary-scale geospatial analyses

Correctly-resize-raster-gis-images-to-a-given-px-width

Mosaic (Hermite) function application in ARC

## Image analysis

Python image analysis tutorial

[Scipy image analysis tutorial](http://www.scipy-lectures.org/advanced/image_processing/

OpenCV for image analysis (Python)

## Cartography

Introduction to visualising spatial data

7 Deadly Sins of (Academic) Data Visualisation

## Help with Fourier Transform applications

Implementation with ImageMagick

MRI scanning and an explanation of k-space

Implementation of a 1D FT using a combined sine wave in Python