Entering Geospatial Machine Learning with GeoPandas

The field of artificial intelligence (AI) has progressed rapidly in recent years, matching or, in some cases, even surpassing human accuracy at tasks such as image recognition, reading comprehension, and translating text.  The intersection of AI and GIS is creating massive opportunities that weren’t possible before. AI, machine learning, and deep learning are helping us make the world better by helping, for example, to increase crop yield through precision agriculture, understand crime patterns, and predict when the next big storm will hit and being better equipped to handle it.

What is Geopandas

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Installation

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Geospatial concepts

Geospatial common datatypes

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GeoJSON, similar to JSON, stores geometry information (coordinates, projection, etc) in addition to your typical attributes relevant to the object (index, name, etc).

Introduction to basic geometric attributes

Area

Polygon Boundary 

Centroid

Distance

You can then perform many spatial aggregates function to find out the mean, max, or min distances.

Source: Where Deep Learning Meets GIS, Geopandas Hands-on: Introduction to Geospatial Machine Learning

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Nursinem Handan ŞAHAN
Nursinem Handan ŞAHAN
Graduated from Yıldız Technical University, Department of Geomatics Engineering in 2018 as an honour student. During her undergraduate education, she studied at the Warsaw University of Technology with the Erasmus + program. Currently continuing her education at Istanbul Technical University, Department of Geographical Information Technologies.

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