Utilize Python to interface with ArcGIS Pro via the arcpy package, and conduct a habitat suitability model!
-
Updated
Apr 7, 2024 - Python
#
habitat-suitability
Here are 2 public repositories matching this topic...
Leverages big data and machine learning for wildlife conservation using GBIF species data. PySpark is used for preprocessing, K-Means for clustering, and Decision Trees for habitat prediction. Tableau visualizes species distribution, biodiversity, and conservation insights.
machine-learning big-data data-visualization pyspark tableau gbif decision-tree habitat-suitability k-means-clustering wildlife-conservation sustainable-development species-distribution sdg15
-
Updated
Oct 18, 2024 - Python
Improve this page
Add a description, image, and links to the habitat-suitability topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the habitat-suitability topic, visit your repo's landing page and select "manage topics."