Nelvinebi / Biodiversity-Hotspot-Prioritization-Using-Clustering-TechniquesLinks
This project uses clustering algorithms on biodiversity data to identify and prioritize conservation hotspots. By grouping ecologically similar regions, it helps highlight areas of critical importance for protection, supporting data-driven environmental management and strategic biodiversity conservation planning.
☆10Updated 2 months ago
Alternatives and similar repositories for Biodiversity-Hotspot-Prioritization-Using-Clustering-Techniques
Users that are interested in Biodiversity-Hotspot-Prioritization-Using-Clustering-Techniques are comparing it to the libraries listed below
Sorting:
- This project generates synthetic spatiotemporal PM2.5 and PM10 air quality data, visualizing pollution trends over time and space using P…☆10Updated 3 months ago
- This project analyzes the correlation between respiratory disease cases and Air Quality Index (AQI) using synthetic data, enabling insigh…☆10Updated 2 months ago
- This project uses Multi-Criteria Decision Analysis (MCDA) to assess and rank project sites based on environmental impact. It analyzes syn…☆10Updated 6 months ago
- This project simulates geospatial analysis to assess land suitability for renewable energy sites using synthetic data. It evaluates solar…☆10Updated 2 months ago
- An AI-powered early warning system that detects environmental hazards using synthetic sensor data. Built with Streamlit and a Random Fore…☆12Updated 6 months ago
- This project predicts industrial emissions using regression models on synthetic data, enabling environmental monitoring, trend forecastin…☆10Updated 2 months ago
- Vehicle Emission Heatmap Dashboard for Smart Cities generates synthetic vehicle data and visualizes pollutant emissions (CO₂, NO₂, CO, PM…☆10Updated 4 months ago
- This project simulates mangrove forest health assessment using NDVI and NDWI indices derived from synthetic spectral data. It classifies …☆10Updated 5 months ago
- This project predicts chlorophyll-a concentrations in coastal waters using synthetic remote sensing reflectance data and machine learning…☆11Updated 3 months ago
- This project models fish catch using synthetic oceanographic data (temperature, salinity, chlorophyll) with linear regression. It generat…☆10Updated 2 months ago
- Species Distribution Modeling with Environmental Variables (Synthetic Data) creates simulated environmental predictors and species occurr…☆10Updated 4 months ago
- This project simulates blue carbon habitat classification using synthetic NDVI and NDWI data, estimates associated carbon stocks, and vis…☆12Updated 3 months ago
- This project simulates and analyzes synthetic Sea Surface Temperature (SST) data to demonstrate climate study techniques, including trend…☆10Updated 6 months ago
- This project applies Machine Learning (XGBoost, Random Forest) and Deep Learning (LSTM) to predict the Water Quality Index (WQI) using sy…☆11Updated 4 months ago
- Deforestation Detection Using Satellite Imagery (Synthetic Data) generates and analyzes simulated RED/NIR reflectance and NDVI changes to…☆10Updated 4 months ago
- This project forecasts ocean current speeds using synthetic time series data and machine learning models. It demonstrates how lag-based f…☆10Updated 6 months ago
- This project generates synthetic wildlife migration data and applies machine learning to predict future locations, enabling analysis and …☆10Updated 2 months ago
- This project focuses on assessing the health of mangrove ecosystems using satellite-derived vegetation indices, particularly the Normaliz…☆43Updated 7 months ago
- This project provides a complete workflow for mapping, visualizing, and analyzing noise pollution levels in urban areas using geospatial …☆40Updated 7 months ago
- An intelligent recommendation system that leverages machine learning to suggest optimal team members based on skills, expertise, and comp…☆40Updated 7 months ago
- ☆39Updated 8 months ago
- ☆36Updated 8 months ago
- This project uses Sentinel-1 Synthetic Aperture Radar (SAR) imagery and Google Earth Engine to detect oil spills in water bodies through …☆42Updated 7 months ago
- Project Phase Classification applies machine learning techniques to categorize project activities into distinct phases, supporting progre…☆49Updated 4 months ago
- This project demonstrates how to solve a **resource allocation optimization problem** using Python and linear programming (via the `PuLP`…☆40Updated 7 months ago
- This project uses synthetic data to predict landslide occurrences based on elevation (DEM), slope, rainfall, and soil type. A logistic re…☆10Updated 2 months ago
- Task Duration Estimator in Python. This tool allows users to input tasks and estimate their duration using simple weighted averages based…☆39Updated 6 months ago
- Gantt-Chart-Auto-Generation-from-Task-Descriptions is a tool that transforms plain task descriptions into structured Gantt charts, enabli…☆39Updated 8 months ago
- This project demonstrates a real-time data pipeline designed for IoT sensors that monitor environmental conditions such as temperature an…☆35Updated 10 months ago
- The Climate Change Trend Analyzer by incorporating regional analyses and additional climate indicators. This will provide a more comprehe…☆42Updated 7 months ago