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3d-cmcc-fem

3D-CMCC-FEM code

bap

Best Available Pixel calculation using Google Earth Engine

coding-interview-university

Repository for jwasham's coding interview university prep

courseproject_g_and_c_data

project from the coursera Getting and Cleaning Data Course

data-science-tidy

Materials for Introduction to Data Science in the Tidyverse, a two-day workshop @ rstudio::conf 2020

datasciencecoursera

Assignment for Data scienctists Toolbox course

datasharing

The Leek group guide to data sharing

dea-notebooks

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray

degradation_code

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

earthengine

Change Detection with Google Earth Engine Imagery

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

ee_bionet

The Google Earth Engine implementation of the BioNet algorithm to estimate biophysical parameters along with their uncertainties.

eemont

A python package that extends Google Earth Engine.

enm_manuals

R scripts that help to perform common analyses in niche modeling exercises

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exploratorydata_project2

forest_degradation_georgia

forestoolboxrs

Remote Sensing Tools for Forest Monitoring

fsct

galup

Ghana Land Use Project

gee-ccdc-tools

Tools and Earth Engine apps to interact with the outputs from the CCDC algorithm

gee_timeseries

Google Earth Engine time series with Savitzky-Golay filter

ggplot2-book

ggplot2: elegant graphics for data analysis

github-upload

greenr

greenR is an R package that enables the quantification, analysis, and visualization of urban greenness within city networks. It leverages data from OpenStreetMap (www.openstreetmap.org) and is implemented as both an R package and a Shiny web application for user-friendly interaction.

high-freq-forex-bot

Python-automated program for finding and exploiting arbitrage opportunities in international currency exchange market using high frequency forex trading (HFX).

kuenm

kuenm: An R package for detailed calibration and construction of Maxent Ecological Niche Models.

landuse-models-performance-

we assessed the performance of three land-use change models, Geomod, Cellular Automata-Markov, and Land Change Modeler, for two environments, rural and urbanized, in a region with rapid urban growth

libro_sig_r

Datos para acompañar el libro 'Introducción a los SIG con R'