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R and bash scripts to obtain projected RLI from projected species distribution (EOO, AOO) and life history traits. Methods described in Visconti et al. 2015 Conservation Letters
A R package that wraps the LPJ-GUESS model
Shiny dashboard for Land Use Regression modelling
R Translation of the Python Marine Heat Waves Scripts (see Hobday et al., 2016).
Some exploratory analysis of plant community composition, traits, and NEE on the RMBL gradient.
:earth_africa: an R package to hold and facilitate interaction with natural earth map data
:exclamation: This is a read-only mirror of the CRAN R package repository. rnaturalearthdata — World Vector Map Data from Natural Earth Used in 'rnaturalearth'. Homepage: https://github.com/ropenscilabs/rnaturalearthdata Report bugs for this package: https://github.com/ropenscilabs/rnaturalearthdata/issues
high resolution naturalearth data for rnaturalearth
R package to extract data from satellite nightlights.
R interface to many NOAA data APIs
R scripts for a roads & roadless areas in B.C. indicator published on Environmental Reporting BC
My directory of R packages for data analysis and visualization, Bayesian statistics, mapping, GIS, climate, Species Distribution Modelling, ecology, etc
RQGIS - integrating R with QGIS
IUCN Red List API Client
Remote sensing with Python tutorials
Set of R functions to process and analyze remote sensing for SDM/ENM
Proto-package for assessing the accuracy of remote sensing classifications
Cheat sheets and presentation about remote sensing usage in R
Data files for Remote Sensing and GIS analysis for ecologists (used by book: "Remote Sensing and GIS for Ecologists"
Remote Sensing and GIS tools for R
Contains functions that enable the construction of linear models with different parameters, cross validation implementation and the calculation of a random goodness-of-fit ditribution. These models are specially useful for studies that use remote sensing variables as independent variables to describe or predict measured-in-field community attributes.
A R package for SOILWAT2
:exclamation: This is a read-only mirror of the CRAN R package repository. rSQM — Statistical Downscaling Toolkit for Climate Change Scenario using Non Parametric Quantile Mapping
rstars is the R package of the Sequential T-test Analysis of Regime Shifts developed by Rodionov (2004) and then implemented in R language by Stirnimann (https://doi.org/10.1093/icesjms/fsz148). Follow on RG: https://www.researchgate.net/publication/335021150_Detection_of_regime_shifts_in_the_environment_testing_STARS_using_synthetic_and_observed_time_series References:Rodionov, S.N., 2004. A sequential algorithm for testing climate regime shifts. Geophysical Research Letters, 31(9). Stirnimann Luca, Alessandra Conversi, Simone Marini, 2019. Detection of regime shifts in the environment: testing “STARS” using synthetic and observed time series, ICES Journal of Marine Science, fsz148, https://doi.org/10.1093/icesjms/fsz148).
Remote Sensing Analysis in R
How I set up RStudio to run keras on my GPU through Anaconda and Tensorflow
R package: Extract Remote Sensing Vegetation Phenology by TIMESAT Fortran library
:exclamation: This is a read-only mirror of the CRAN R package repository. RTransferEntropy — Measuring Information Flow Between Time Series with Shannon and Renyi Transfer Entropy. Homepage: https://github.com/BZPaper/RTransferEntropy Report bugs for this package: https://github.com/BZPaper/RTransferEntropy/issues
:exclamation: This is a read-only mirror of the CRAN R package repository. rts — Raster Time Series Analysis. Homepage: http://r-gis.net
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.