geosconsulting,Design for Resilience,fabiolanarch,github

👋 Hi, I’m @geosconsulting
👀 I’m interested in geospatial analysis, python, machine learning
🌱 I’m currently learning python for GeoAI
💞️ I’m looking to collaborate on agricultural and co2 sequestration projects
📫 How to reach me [email protected]

Academic training in urban planning and data analysis to achieve insight on complex territorial systems with a thorough understanding of the dynamics that govern the interaction between natural and built environment. Risk, vulnerability and resilience assessment and management of natural hazards using GIS and Remote Sensing in particular in the field of flood modeling and wildfires analysis. Vast experience in the design of databases with a spatial component and more than ten years experience in Geographical Information Systems, Remote Sensing and geospatial analysis. Experience consulting with, advising, supporting and presenting geomatics related information to clients and writing proposals, reports, research papers.

Design for Resilience's Projects

locust

Locust Crisis Tools

matplotlib

Hands-on Tutorial on Matplotlib and Seaborn

neondata

The National Ecological Observatory Network is a continental-scale observation system for examining ecological change over time.

parse_ingv_quakeml

Parsine data in QuakeML format from INGV services

qgis_vari

vari script plugin per qgis

sparc-four-hazards

The WFP Emergency Preparedness Branch (OSEP), in collaboration with other relevant units, is developing a Spatial Risk Calendar (SPARC) to support emergency preparedness and programme planning. To support emergency preparedness and early warning SPARC will combine data layers covering hazard exposure and population vulnerability to determine baseline probabilistic levels of humanitarian impact associated with particular hazard types, on a monthly basis, at a sub-national level, around the globe. To support programme design it will identify subnational areas with varying degrees of exposure to natural shocks, and population vulnerability, on a monthly/seasonal level.