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Achievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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@kingsgeocomp

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jamesdamillington/README.md

I study landscape and environmental change, often by using computational or statistical models

I also teach Spatial Data Science and environmental geography in my current role as Professor of Environmental 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.

Recently I've worked with the CRAFTY and WHAM! simulation models for studying land use/cover change in Brazil and global fire use, respectively.

I often work with environmental data in (geo)raster format (e.g. see this chapter in the Environmental Data Science online book) and I regularly review for the Journal of Open Source Software.

Website ORCID Google Scholar LinkedIn

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  1. MapBiomasClassification MapBiomasClassification Public

    Comparing different classifications of MapBiomas 2.3 data for use with CRAFTY

    HTML 2

  2. AnthroFireDB AnthroFireDB Public

    Forked from OliPerkins1987/AnthroFireDB

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

    R 1

  3. CRAFTY_Brazil CRAFTY_Brazil Public

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

    Java 1 1

  4. ialeUKconferences ialeUKconferences Public

    Code to analyse ialeUK conference abstracts

    CSS 1

  5. john-snow john-snow Public

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

    Jupyter Notebook 3 2

  6. Maestro_Solo Maestro_Solo Public

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

    Shell 1 1