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Extension of BD function proposed by Legendre and De Cáceres (2013), to calculate functional and phylogenetic beta diversity and its components
Set of functions for the spatial analysis of Beta diversity and its components for North American vascular plants
bfast package is now further developed on Github (migrated from svn R-Forge on 2/12/2016)
:exclamation: This is a read-only mirror of the CRAN R package repository. bfast — Breaks For Additive Season and Trend (BFAST). Homepage: http://bfast.R-Forge.R-project.org/
Two R scripts used in analysis of 250-m MODIS NDVI from 2000 to 2014 using BFAST time series algorithm. BFAST outcomes were evaluated using field-estimated biomass data.
Breakpoint detection of Landsat pixel time series via BFAST-based algorithms, provided as a Shiny app
Landsat time series analysis using bfast
Interactive tool to investigate effects of changing bfast parameters on the temporal segmentation of single time-series inputs
Implementation of bfastmonitor() and related functions using the rasterEngine() function (spatial.tools)
Plotting functions for bfast-type objects
Set of utilities and wrappers to perform change detection on satellite image time-series (Landsat and MODIS). Includes pre-processing steps and functions for spatial implementation of bfastmonitor change detection and post processing of the results.
Shiny interface for BFAST spatial
Shiny App for visualizing effect of varying options and values in bfastmonitor change detection algorithm
experimental alternative to bfmSpatial() from bfastSpatial package
Bias Correction for Satellite Precipitation Observations
Code for: Peel, S.L., Hill, N.A., Foster, S.D., Wotherspoon, S.J., Ghiglione, C. & Schiaparelli, S. (2019) Reliable species distributions are obtainable with sparse, patchy and biased data by leveraging over species and data types. Methods in Ecology and Evolution
:earth_americas: :herb: Code from Echeverria-Londono et al., 2018. Front. Ecol. Evol
training logistic regression model in spark via sparklyr
Slides and lecture notes on how to process large spatial data with R
Code and data for the paper 'The biodiversity intactness index may underestimate losses' published in Nature Ecology and Evolution https://www.nature.com/articles/s41559-019-0895-1
Effects of biodiversity on spatial stability in heterogenous environments.
biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
Repo to create a new set of climatic variables for working in macroecology and biodiversity dynamics.
The BioFrag software is a collection of novel image processing and computational methods designed for Landscape Ecologists, to measure habitat framgentation and analyse its impact on species abundance and biodiversity from species census data and remotely sensed images.
BioGeography with Bayesian (and likelihood) Evolutionary Analysis with R Scripts
Biogeographical network analysis of plant species distribution in the Mediterranean region
R-Codes for RSE manuscript "Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass"
Calculating temperature and precipitation predictability at the global scale
R package to plot Whittaker' biomes
Codes to conduct the statistical analyses and biome stability estimation presented in Costa et al. 2018. Historical climatic variables can be download at http://paleoclim.org.
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.