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SKAI is a machine learning based tool for performing automatic building damage assessments on aerial imagery of disaster sites.
Record plots generated during an R session and replay as a gif!
Using Alternative Data to Assess Immediate Economic Impacts of Crises -- Conflict and Natural Disasters
Interactive workflows for creating AI intelligence reports from real-world data sources
A collection of data visualizations created for the #30DayChartChallenge. Mixing insight with aesthetics, caffeine optional but recommended.
➰ A Facial Recognition tool based on Open-CV.
Image Recognition using Python
R data management and analysis scripts for a study of models to predict the burden of acute malnutrition in South Sudan and Somalia (2014-2018). Somalia datasets are included to enable replication.
PRISM is an interactive map-based dashboard that simplifies the integration of geospatial data on hazards, along with information on socioeconomic vulnerability
Data quality checks for WFP assesssments
📊 Create Native 'Excel' Charts and Work with Microsoft 'Excel' Files
Positron, a next-generation data science IDE
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Set of quality checks / cleaning / analysis / output functions related to public health outcome indicators.
A Quarto extension to embed PDF files in HTML formats
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
UNHCR contributions to #30DayMapChallenge in November 2023.
A package for creating monochrome colour palettes and easily converting rgba values to hex codes
Official repo for the #30DayMapChallenge data visualization project. Open to everyone!
Códigos y visualizaciones #30DayMapChallenge [La última vez que hice un desafío de 30 días dije que nunca más haría otro. ¡Y aquí estoy de nuevo!]
Color Schemes based around artwork and the Museum of Modern Art.
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats