2017 Seattle Geospatial Intelligence Hackathon: team project
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Updated
May 22, 2017 - HTML
2017 Seattle Geospatial Intelligence Hackathon: team project
Monitor areas on static map services & log new images
A walkthrough of tutorials I made for working with geospatial data in Python. Includes my evaluations of Python geospatial libraries, tools and packages.
This project aims to make use of geospatial intelligence to explore the accessibility of residents to amenities that advocate a healthier lifestyle, and also the spatial patterns involved. The scope of our analysis will involve two main facets of a healthier lifestyle, namely food and exercise.
Machine Learning to Regionalize Data and perform geospatial clustering
co-create and grow GEOINT standards transparenlty
DeepGeo: Deep Learning for Earth Observation data ToolBox
Envitia MapLink Pro sample code
🧜♂️ The Intelligence Way for Aqua Geospatial Recommendation, Classifications, and more Pipeline Dashboard
Mappls advanced analytics engine: Insight transforms raw data into impactful visualizations and interactive dashboards, easily shared and embedded.
Picterra Python API Client
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