Skip to content
View JTSALAH's full-sized avatar

Block or report JTSALAH

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
JTSALAH/README.md

Hi! I'm James hi

Howdy! I’m James, I am passionate about uniting GIS and ecology to make meaningful conclusions about our landscapes.

  • 🌱 I’m currently learning shiny app development.
  • 💞️ I’m looking to collaborate on spatial ecology projects.
  • 😄 Pronouns: He/They
  • 💬 Ask me about anything.

🤝   Connect with Me


🛠   Tech Stack

R
R
Python
Python
Linux
Linux
HTML5
HTML5
CSS3
CSS3
JavaScript
JavaScript

Pinned Loading

  1. JTSALAH.github.io JTSALAH.github.io Public

    This is my portfolio website! I post my projects and research on here. All HTML/CSS is written and maintained by me!

    HTML

  2. Automated-GBIF-Species-Distribution-Modeling Automated-GBIF-Species-Distribution-Modeling Public

    Utilize R and GBIF to automatically download data and run optimized MaxEnt models for multiple species.

    R 1

  3. R-Spatial-Autocorrelation-Analytics R-Spatial-Autocorrelation-Analytics Public

    Create variograms, krige, and generate correlograms by utilizing gstat and spdep!

    R

  4. R-Point-Pattern-Analytics R-Point-Pattern-Analytics Public

    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 bet…

    HTML

  5. Restoration-Site-Selection-Shiny-App Restoration-Site-Selection-Shiny-App Public

    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 int…

    R

  6. Thrush-Spatial-Regression-Modeling Thrush-Spatial-Regression-Modeling Public

    This script looks to account for spatial autocorrelation in a spatial regression modeling through various methods, including trend surface modeling and eigenvector mapping!

    HTML 1