Name: James Tsalah
Type: User
Location: Sunderland, MA
Howdy! Iām James, I am passionate about uniting GIS and ecology to make meaningful conclusions about our landscapes.
š¤ Ā Connect with Me
 R |
 Python |
 Linux |
 HTML5 |
 CSS3 |
 JavaScript |
automated-gbif-species-distribution-modeling
Utilize R and GBIF to automatically download data and run optimized MaxEnt models for multiple species.
batch-landscape-metrics
Landscape Metrics can be a great way to assess the health and fragmentation of ecosystems, although landcover classification layers may be split up into multiple files such as the case with the Hawaiian Islands. This script streamlines the analytical process by accepting a folder of landcover classification layers to be processed.
dem-rayshader-visualization
With Rayshader you can visualize DEMs in 3D, and output graphics such as videos and gifs to showcase them. This script makes it easy to visualize your data with minimal input.
dem-to-point-cloud
Utilize Python libraries to convert DEMs or any appropriate raster to a 3D Point Cloud representation for use in 3D software. You can also optionally generate a rough mesh with this script!
habitat-suitability-modeling
Utilize Python to interface with ArcGIS Pro via the arcpy package, and conduct a habitat suitability model!
jtsalah
Config files for my GitHub profile.
jtsalah.github.io
This is my portfolio website! I post my projects and research on here. All HTML/CSS is written and maintained by me!
lidar-3d
Convert LiDAR to point cloud .ply and mesh within Python.
lidar-dem
Create DEMs from LiDAR using Python!
r-grass-hydrological-analysis
Interface R & GRASS GIS to automate a Hydrological Analysis from a DEM. Calculate streams, Strahler stream order, and Topographic Wetness Index for utilization as a SpatRaster in R.
r-hotspot-animation
A quick way to create an animated map of species appearences over time, tailored for default EDDMaps CSV outputs.
r-point-pattern-analytics
Conduct a point pattern analysis in R using the spatstat package. In this code you will comprehensively compare and contrast the K, L, g, G, and F functions with their respective corrections to better understand your spatial clustering or dispersion!
r-satscan-hotspot-analytics
Interface R & SatScan to create descriptive HotSpot Analytics!
r-spatial-autocorrelation-analytics
Create variograms, krige, and generate correlograms by utilizing gstat and spdep!
restoration-site-selection-shiny-app
By using the Analytical Hierarchy Process (AHP) in tandem with landscape metrics, we can determine which parcel is best suited for restoration! Use my shiny app as a template to create your own interactive site selection shiny app!
spatial-data-analysis-in-r-course-materials
Class materials for Spatial Data Analysis in R (ECO637), a graduate level course offered at the University of Massachusetts, Amherst.
thrush-spatial-regression-modeling
This script looks to account for spatial autocorrelation in a spatial regression modeling through various methods, including trend surface modeling and eigenvector mapping!
uas-flight-error-statistics
Calculates error in UAS drone flights by comparing measured ground control point coordinates to UAS determined coordinates.
uas-treetop-identification
Utilize R to detect tree tops from a given DSM and DTM in order to generate a Canopy Height Model for treetop identificaiton. Then bring your CHM into Rayshader for a forest visualization!
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ā¤ļø Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
