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Data and code from the manuscript 'Temporal harmonization of a national dataset for spatial prediction of soil organic carbon'
A model application of the livestock resilience model for social-ecological modelling.
Support files for a data visualization course and book
R code and spatial predictions for WHRC-TNC project modeling spatial extent of soil carbon loss due to agriculture
I use the Decision Tree and Random Forest Methods to predict soil-type.
A collection of code written along the way to visualizing and analyzing time-series soil moisture data in the continental USA.
Hengl, T., Leenaars, J. G., Shepherd, K. D., Walsh, M. G., Heuvelink, G. B., Mamo, T., et al. (2017) Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning. Nutrient Cycling in Agroecosystems, 109(1), 77–102.
Implementation of RUSLE method in GEE
Collection of scripts for the CA rangelands case study of the SNAPP soil carbon working group
A open source and open access resource for the soil erosion community.
Analysis for Soil Erosion Paper
Global spatial predictions of soil properties and classes at 250 m resolution
Website to help landowners assess soil health.
Scripts related to the display and analysis of satellite soil moisture
Harmonization of environmental layers used to map soil salinity in Colombia
Random forest model for pH - LIME - Prediction uncertainty
Spatial emergent constraint on the sensitivity of soil carbon turnover to global warming - Varney et al. 2020 Nature Communications
The Soil Texture Wizard (R package soiltexture)
codes for paper "Trends in persistent seasonal-scale atmospheric circulation patterns responsible for seasonal precipitation totals and occurrences of precipitation extremes over Canada" in Journal of Climate
Files and R codes to the manuscript Soudzilovskaia et al (2019) Nature Communications "Global mycorrhizal plant distribution linked to terrestrial carbon stocks "
Space Shepherd: Satellite remote sensing of sheep distributions in 2020 and 2030
land use land cover change script using space and time models: Yucatan and Ecuador
Sources of the book "Displaying time series, spatial and space-time data with R" (1st Edition)
Species Presence/Absence R Trends Analyses
Slides, code and data for "Scalable methods for large spatial data" course, Spring 2017
Tutorial for Spatial Data Analysis. Source: https://www.rspatial.org/raster/analysis/index.html
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.