Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases - Image 1

£37.68

Apress Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases

Name: Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases
Brand: Apress
Price: 37.68 GBP
Availability: InStock

Geography

About as cheap as it gets. The only time it was cheaper was 2 months ago.

£38 today · all-time low £37 (May 2026) · usually £38

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 78 days · 78 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 78 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £37 (72 days, 92.3%)

Price range: £37 - £38

Price levels: 2 different prices over 78 days

Description

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting, buffering, merging, dissolving, and erasing, with implementations in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and presents interpolation, classification, regression, and clustering via examples and use cases. This book is your go-to resource for machine learning on geodata. It presents the basics of working with spatial data and advanced applications. Examples are presented using code (accessible at github.com/Apress/machine-learning-geographic-data-python) and facilitate learning by application. What You Will Learn Understand the fundamental concepts of working with geodata Work with multiple geographical data types and file formats in Python Create maps in Python Apply machine learning on geographical data Who This Book Is For Readers with a basic understanding of machine learning who wish to extend their skill set to analysis of and machine learning on spatial data while remaining in a common data science Python environment

Product Specifications

Brand: Apress
Format: paperback
ASIN: 1484282868
Category: Books > Subjects > Science, Nature & Maths > Earth Sciences > Geography
Domain: Amazon UK
Release Date: 21 July 2022
Listed Since: 27 April 2022

Barcode

No barcode data available

Apress Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases

About as cheap as it gets. The only time it was cheaper was 2 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

Local Models for Spatial Analysis

The Esri Guide to GIS Analysis, Volume 1: Geographic Patterns and Relationships

Elsevier Generalisation of Geographic Information Book

Cartography: Visualization of Geospatial Data, Fourth Edition

Local Models for Spatial Analysis

Beginning Spatial with SQL Server 2008 (Expert's Voice in SQL Server)

Spatially Explicit Hyperparameter Optimization for Neural Networks

Uncertainty Modelling and Quality Control for Spatial Data

Uncertainty Modelling and Quality Control for Spatial Data

Quantitative Geography: Perspectives on Spatial Data Analysis

A Primer of GIS, Second Edition: Fundamental Geographic and Cartographic Concepts

GIS: A Computing Perspective

Spatial Data Modeling: Mapping the World in Databases. (Data Modeling Books)

Abstracting Geographic Information in a Data Rich World: Methodologies and Applications of Map Generalisation (Lecture Notes in Geoinformation and Cartography)

PostGIS Cookbook - Second Edition: Store, organize, manipulate, and analyze spatial data

Advances in Web-based GIS, Mapping Services and Applications: 9 (ISPRS Book Series)