benitezrcamilo Goto Github PK
Name: Camilo Benitez Riveros
Type: User
Twitter: benitezrcamilo
Location: Asunción - Paraguay
Name: Camilo Benitez Riveros
Type: User
Twitter: benitezrcamilo
Location: Asunción - Paraguay
ArcGIS tools to automate mapping and prioritization of wildlife habitat corridors
Simulation of multiple ecological functional corridors
Landscape fragmentation and connectivity analysis
Bonus materials, exercises, and example projects for our Python tutorials
An open source platform for building civic tech and geospatial apps
Maximum entropy modelling of species geographic distributions.
Machine Learning for Wildlife Image Classification
This is an R package providing tools to visualize movement data by creating path animations from geo-location data.
Steps to create electrification estimates from settlement maps and nighttime satellite imagery.
Camilo Benitez R. personal website and blog
🖼️ Create beautiful maps from OpenStreetMap data in a webapp
spatiotemporal exploratory model in Python
An R web crawler and scraper
Wrapper to the eBird API.
rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
Road detections from Microsoft Maps aerial imagery
rPython for Windows
Remote Sensing Analysis in R
Visualize classified time series data with interactive Sankey plots in Google Earth Engine
SAVeTrEE is a script within Google Earth Engine for classifying areas of vegetation mortality. It prompts the user for a year, duration, and spectral index for which a mortality map should be produced, then fits a trend line to an imagery time sequence of vegetative spectral index values calculated from Landsat multispectral data. The slope of the trend line, as well as the spectral index values, are used in determining the final classification of each pixel within the study area. Classification categories are: 1) Growing 2) Mortality (declining) 3) Stable Vegetation and 4) Stable Barren.
Image segmentations of trees outside forest
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
Awesome Spectral Indices in Python.
STEM loading, mapping, plotting, and analysis
Course material for "Structure your app: introduction to Shiny modules"
Earth Engine task for calculating weighted sum of drivers
Voilà turns Jupyter notebooks into standalone web applications
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.