Processor showcasing how to generate alerts at regional level based on weather and vegetation status
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Updated
Apr 8, 2024 - Python
Processor showcasing how to generate alerts at regional level based on weather and vegetation status
GeoGrid is a distributed geographic raster data processing engine based on Dask
The server tells us which state, if any, a point (or location) is in The United States.
A python library for using the MicMac Sfm library and Micasense red edge camera
A REST-API for Django to provide spatial data
AWS (S3, EC2) Data Pipeline for Hillside Street Prioritization Application (developed under SRILab, UCLA)
Repositorio oficial del Proyecto de Investigación PROMeI 2023: "Generación de herramientas de extracción de información ambiental mediante técnicas de aprendizaje automático, a partir de bases de datos textuales. Su aplicación al caso del Municipio de Luján (provincia de Buenos Aires)."
Collection of Python scripts for basic level geospatial analysis and QGIS plugin development
Visualising Tamil Nadu district level data using Python
ML API that predicts a future location of a person based on the geospatial history.
A script to pull data from the Covid Tracking Project and put it into a GIS compatible format on ArcGIS Online
map of location of poor people and nearest water points
Implementing a Python-based project using computer vision to analyse a wooden beer bottle cap display (shaped like Germany), aiming to correlate bottle caps with their geographic references by minimizing spatial distances between map holes and physical locations.
This repo is for calculating the ratio between driving and transit commute times across a city at a given time of day, using the Google Distance Matrix API. Results are output in both CSV and Shapefile formats.
Cyclistic Bike Ride Data - Customer Segmentation Project
A set of tools to merge individually owned units into Owned Unit Groupings in a Parcel Dataset
Flask API to upload and query geospatial data using PostgresSQL (PostGIS)
In this project, macro-scale mobility data is downloaded through web-scraping, it is transformed and finally presented in the form of an interactive dashboard.
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