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I study landscapes and how they change, often by using computational or statistical models

I also teach Spatial Data Science and environmental geography in my current role as Reader in Landscape Ecology in the Department of Geography at King's College London. See repos for some of my teaching materials here.

Python and R are my languages of choice, but I have previously used C++ and can hack away in Java. I regularly use spatial libraries from the pangeo project for Python, and the rspatial and r-spatial projects for R. See my gists here.

I'm currently working with the CRAFTY and WHAM! simulation models for studying land use/cover change in Brazil and global fire use, respectively. Recently completed a chapter for the Environmental Data Science book on Exploring Land Cover Data using Python, OpenDataCube and HoloViews.

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James Millington's Projects

anthrofiredb icon anthrofiredb

Data and code for the first global database of anthropogenic fire impacts

brazilagrianalysis icon brazilagrianalysis

Analysis of Brazil agricultural commodities data for CRAFTY-Brazil modelling project

brazilagriindex icon brazilagriindex

Production of an index of agricultural suitability (soy, maize, cattle) for Brazil

brazilinputmaps icon brazilinputmaps

Manipulating MapBiomas (version 4) data for land cover maps to use in CRAFTY Brazil

ca-abm-intro icon ca-abm-intro

Introduction to spatial simulation (CA and ABM) using NetLogo

ca-nv_climsum icon ca-nv_climsum

Summary of CA, NV climate data from http://albers.cnr.berkeley.edu

cornwall-fire icon cornwall-fire

Simple implemantation of the McArthur fire model for some land cover types using field data from Cornwall, UK

crafty_brazil icon crafty_brazil

CRAFTY-Brazil: An implementation of the CRAFTY ABM simulation model across a Brazilian study area

craftyinput icon craftyinput

Scripts to create input files for CRAFTY-Brazil simulation model

deafrica-sandbox-notebooks icon deafrica-sandbox-notebooks

Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

flute_maestro icon flute_maestro

Application to communicate and co-ordinate between CRAFTY Brazil and BioLUC models

fluteoutput icon fluteoutput

Analysis scripts for output of FLUTE (the CRAFTY-BioLUC mashup)

john-snow icon john-snow

Spatial analysis playground using data related to John Snow's cholera epidemic

keymethodsingeography icon keymethodsingeography

Resources for Simulation and Reduced Complexity Models chapter in Key Methods in Geography book

london-data icon london-data

Spatial data for London, curated for analysis using ONS geographies

maestro_solo icon maestro_solo

Dummy application used with CRAFTY Brazil (so simulate presence of BioLUC model)

rasterinfor icon rasterinfor

raster info tool based on shiny and the raster R package

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