Open Webinar: Introduction to Python and Geopandas for Flooded Area Analysis

New streaming link: https://youtu.be/bB8j7AghbwQ Geopandas is one of the most advanced geospatial libraries in Python because it combines the spatial tools of Shapely, it can create and read different OGC vector spatial data, it can couple the Pandas tools to manage, filter, and make operations over the columns of the metadata, it has the capability to plot geospatial data on Matplotlib and even to Folium among other features. We have developed a webinar of Geopandas applied to the analysis of flooded areas over the Boise city for a return period of 200 years; the webinar will cover introductory concepts of Geopandas, it will work with point, line and polygon vector data, create plots, simplify vertices and perform geospatial queries over inundated facilities and highways. IMPORTANT: You will need a conda environment with geospatial tools for the webinar. Create the environment following this link: https://hatarilabs.com/ih-en/how-to-install-python-geopandas-in-windows-on-a-conda-environment-tutorial

Instructor / Instructor:

Saul Montoya M.Sc

Hydrogeologist - Numerical Modeler

Mr. Montoya is a Civil Engineer graduated from the Catholic University in Lima with postgraduate studies in Management and Engineering of Water Resources (WAREM Program) from Stuttgart University – Germany with mention in Groundwater Engineering and Hydroinformatics. Mr Montoya has a strong analytical capacity for the interpretation, conceptualization and modeling of the surface and underground water cycle and their interaction. He is in charge of numerical modeling for contaminant transport and remediation systems of contaminated sites. Inside his hydrological and hydrogeological investigations Mr. Montoya has developed an holistic comprehension of the water cycle, understanding and quantifying the main hydrological dynamic process of precipitation, runoff, evaporation and recharge to the groundwater system.

Language / Lenguaje:

English

Event date / Fecha del evento:

Tuesday, March 8, 2022 6:00 p.m. Amsterdam Time

Hosted by / Organizado por:

Hatarilabs

Stream link / Enlace de transmisión:

https://youtu.be/bB8j7AghbwQ

Input data / Datos de entrada:

https://owncloud.hatarilabs.com/s/b7aJKtT20QoskX3

Additional instructions / Instrucciones adicionales:

Password to download input data: Hatarilabs.