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a_vector_autoregressive_model

Building a vector autoregressive model. Model selection using information criteria. Model estimation. Residual diagnostics. Impulse response analysis. Forecasting. Granger causality. Hypothesis testing. Data: Inflation, unemployment and effective federal funds rate time series.

app-mining-area-polygonization

A web application to poligonize mine-areas in a given set of locations.

arctic_greening

Analysis of tundra "greenness" across the Arctic tundra biome (Berner et al. 2020 Nature Communications)

astsa

:exclamation: This is a read-only mirror of the CRAN R package repository. astsa — Applied Statistical Time Series Analysis. Homepage: https://github.com/nickpoison/astsa, http://www.stat.pitt.edu/stoffer/tsa4/, http://www.stat.pitt.edu/stoffer/tsda/

atmosphericopticaldepth

awesome-causality

Resources related to causality

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-deep-learning-of-remote-sensing

Awesome Deep Learning of Remote Sensing

awesome-earth-engine-apps

A collection of all public Google Earth Engine Apps.

awesome-earthobservation-code

curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!

awesome-edge-detection-papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

awesome-gee

A curated list of Google Earth Engine resources

awesome-geospatial

Long list of geospatial tools and resources

awesome-remote-sensing-change-detection

List of datasets, codes, papers, and contests related to remote sensing change detection

awesome-remote-sensing-papers

Selection of remote sensing papers

bale-vegtrans

Analysis of vegetation changes along settlement related transects.

basemaps

A lightweight package for accessing basemaps from open sources in R 🗺️

batch_site_retrieval_from_global_modis_product

These codes are used to retrieve MODIS product for multiple sites.

bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

bayesian-population-modelling-course

This folder contains scripts and data for my part of the Advanced Population and Community Ecology master Course at RUG

bayesian_network_sdm

bayts

Set of tools to apply the probabilistic approach of Reiche et al. (2015, 2018) to combine multiple optical and/or Radar satellite time series and to detect deforestation/forest cover loss in near real-time. The package includes functions to apply the approach to both, single pixel time series and raster time series. Examples and test data are provided below.

bc-raster-roads

R scripts for generating a raster spatial layer with length of roads per hectare for B.C.

bdes_to

Data processing and analytics code for project "Biodiversity and ecosystem services trade-offs"

be-hyperspecprediction

Prediction of biodiversity variables using hyperspectral observations.

bef-reefs

Data and code used in Benkwitt et al. "Biodiversity increases ecosystem functions despite multiple stressors on coral reefs"

bef_scale_synthesis

code for literature synthesis for the article by Gamfeldt et al.

befwithtraitbasedmodel

Data and R Code

belg

Boltzmann entropy of a landscape gradient

bemfmetric

Does the relationship between biodiversity and EMF depend on the number of ecosystem functions?