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yangxhcaf's Projects

betadiv_extension icon betadiv_extension

Extension of BD function proposed by Legendre and De Cáceres (2013), to calculate functional and phylogenetic beta diversity and its components

betadivna icon betadivna

Set of functions for the spatial analysis of Beta diversity and its components for North American vascular plants

bfast icon bfast

bfast package is now further developed on Github (migrated from svn R-Forge on 2/12/2016)

bfast-1 icon bfast-1

: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/

bfast-browning-et-al-2017 icon bfast-browning-et-al-2017

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.

bfast-explorer icon bfast-explorer

Breakpoint detection of Landsat pixel time series via BFAST-based algorithms, provided as a Shiny app

bfastapp icon bfastapp

Interactive tool to investigate effects of changing bfast parameters on the temporal segmentation of single time-series inputs

bfastspatial icon bfastspatial

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.

bfmapp icon bfmapp

Shiny App for visualizing effect of varying options and values in bfastmonitor change detection algorithm

bfmthresh icon bfmthresh

experimental alternative to bfmSpatial() from bfastSpatial package

biassim icon biassim

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

bien_fee_paper icon bien_fee_paper

:earth_americas: :herb: Code from Echeverria-Londono et al., 2018. Front. Ecol. Evol

bigspatialdatar icon bigspatialdatar

Slides and lecture notes on how to process large spatial data with R

bii_bmi_paper icon bii_bmi_paper

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

biodivmapr icon biodivmapr

biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

bioextremes icon bioextremes

Repo to create a new set of climatic variables for working in macroecology and biodiversity dynamics.

biofrag icon biofrag

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.

biogeobears icon biogeobears

BioGeography with Bayesian (and likelihood) Evolutionary Analysis with R Scripts

biomass icon biomass

R-Codes for RSE manuscript "Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass"

biomesstability icon biomesstability

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.

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