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ecosystemvariability

Model-Data comparisons of ecosystem stability across space and time

eddi

R package for the Evaporative Demand Drought Index (EDDI) data product

edmshift

Empirical data methods applied to ecosystem regime shifts

edss_dep_framework

Integrated framework for EDSS deployment

ee-landsatlinkr

ee-rangelands

Maps and tools to assess the state and change of global grasslands based on fractional ground cover calculated on the Google Earth Engine

ee-runner

Command-line runner for Google Earth Engine Playground scripts

eedswe

DSWE on the GEE

eemont

A python package that extends Google Earth Engine.

eeus2018-jupytersession

Jupyter notebooks for the Python session of the 2018 Earth Engine User Summit.

eguchi-et-al-nat-geo

Code for model presented in Eguchi et al. 2019 Nature Geoscience

ei-globalforestanalysis

elsa

A framework that provides the methods for quantifying entropy-based local indicator of spatial association (ELSA) that can be used for both continuous and categorical data. This package offers other methods to measure local indicators of spatial associations (LISA). Furthermore, global spatial structure can be measured using a variogram-like diagram, called entrogram.

elton

🌼🐝 Bayesian joint species distribution models with networks 🐝🌼

embarcadero

🌲🌉 BART species distribution models 🌉 🌲

emcon_iav

Scripts for evaluating relationship between variances in global GPP and NBP

empirical_analysis_of_cascading_effects

Code to internship report "Empirical Analysis of Cascading Effects using CCM"

enlstm

Ensemble long short-term memory. A gradient-free neural network that combines ensemble neural network and long short-term memory.

enm_agroforestry

Code used in the paper: The future of coffee and cocoa agroforestry in a warmer Mesoamerica

enmsdm

Faster, better, smarter ecological niche modeling and species distribution modeling

ensemble_sdm

This repository contains a set of r scripts that allow for ensemble species distribution modeling based on biomod2 package. It has build in parallel processing and many scripts for additional functionality such as output of rasters and jpegs for projections, nice looking ggplot figures from model evaluation, predictor importance, improved response curves. It also has a set of scripts for considering results across multiple species such as map of areas with largest number of potential species range gain, loss, etc.

enso

Detrending and modeling of NOAA precipitation climate data.

enso-timeseriesanalysis

Optimisation of a multi-temporal statistical tool to analyse the cyclostationarity behaviour of the El-Nino Southern Oscillation climatic phenomenon

entropart

Entropy Partitioning to Measure Diversity

entropy

Multiscale time-dependent entropy for time series analysis

environmental-kuznets-curve-in-r

Codes and Data used for the Environmental Kuznets Curve in Penn using R language

environrankafrica

R code and data for structural equation models and boosted regression trees to estimate relationships between environmental degradation and socio-economic variables among African nations

envision-ai

This repository includes the code needed to analyze satellite land imagery with AI and determine whether the land is At-Risk to Desertification, Lush/Safe, Desert or Urban. Press the link to read the full business plan.

eo-flow

Collection of TensorFlow 2.0 code for Earth Observation applications

eocubes

Software for Earth observation data cubes using R