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Applied Geospatial Data Science with Python - Take control of implementing, analyzing, and visualizing Geospatial and Spatial data with Geopandas and more (Paperback)
Loot Price: R1,273
Discovery Miles 12 730
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Applied Geospatial Data Science with Python - Take control of implementing, analyzing, and visualizing Geospatial and Spatial data with Geopandas and more (Paperback)
Expected to ship within 10 - 15 working days
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Build Geospatial and Spatial Data Science applications with Python
to intelligently connect with the world around you Key Features *
Hands-on case studies with code samples that can be reproduced,
expanded upon, or improved * Learn to confidently integrate spatial
data and thinking into traditional data science workflows * Learn
critical spatial thinking skills, enabling you to approach problems
through a geographic lens Book Description The goal of the book is
to help data scientists and GIS professionals to learn and
implement Geospatial Data Science with Python. We will learn
various GeoPython libraries. We will be learning how to read
spatial data effectively, manipulate and process spatial data, and
carry out spatial operations. We will also learn spatial data
visualization. We will also showcase various use cases that will
help the readers understand and help them during implementation. By
the end of the book, the readers will be able to develop geospatial
data science solutions in Python. What you will learn * Understand
the fundamentals and methods needed to work with geospatial data *
Develop an introductory portfolio of work using a code base *
Working with geospatial data or treating it as a tabular dataset *
Hands-on skills with case studies relevant to geospatial data
science * Understanding geospatial data and database and how it is
used effectively * Best practices of using Geospatial Data to
connect with the world around you Who This Book Is For This book is
developed for 1) data scientists seeking to incorporate geospatial
analysis into their work and 2) GIS professionals seeking to
incorporate data science methods into theirs. The reader will need
to have a foundational knowledge of python for data analysis and/or
data science.
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