Thesis titled "Geospatial Semantic Pattern Recognition in Volunteered Geographic Data Using the Random forest Algorithm" for the degree of Masters of Spatial Analysis at Ryerson University in 2016
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Updated
Apr 25, 2017 - Python
Thesis titled "Geospatial Semantic Pattern Recognition in Volunteered Geographic Data Using the Random forest Algorithm" for the degree of Masters of Spatial Analysis at Ryerson University in 2016
A simple program to generate spherical model from an azimuthal map.
Toponym Disambiguation using Ontology-based Semantic Similarity.
🌐 A lightweight 3D visualization of the earth in 150 lines of Qt/OpenGL
Spreadsheet formulae to convert decimal degrees to degrees-minutes-seconds
Open source spatial and geographic platform to create and show the last severe alerts based on CAP (Common Alert Protocol). Front-end (Twitter Bootstrap, Javascript, JQuery) and Back-end (Php, Yii2, Postgres, Postgis, Restful, Api, Json). This platform have been created to help the meteorologic agencies to predict severe events and create CAP.
A tutorial for data preprocessing and visualization using Python
Preliminary PhD research
a geographic analysis package for understanding diversity
A tool that can convert between coordinates, S2 cells, and S2 tokens, print cell info, and generate KML visualizations of cell parents and boundaries.
An in-memory time-series index that can be populated manually and/or by recursively processing a path.
Efficiently identify the nearest major city to a given coordinate.
A package that knows how to take a list of locations, a list of images, knowledge of EXIF, and some geographic/population data (if any images are not already geotagged), and group images by the major cities that they were taken near.
UFMG D00619 Engineering Challenge. Solution: Relate 2D pixels to geographic coordinates using camera perspective transformations. Python + MatPlotLib + OpenCV
Tools for working with and visualizing environmental simulations.
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