Geographic Data Science with Python (Chapman & Hall/CRC Texts in Statistical Science) - Image 1

£42.39

Chapman and Hall/CRC Geographic Data Science with Python (Chapman & Hall/CRC Texts in Statistical Science)

Name: Geographic Data Science with Python (Chapman & Hall/CRC Texts in Statistical Science)
Brand: Chapman and Hall/CRC
Price: 42.39 GBP
Availability: InStock

Cartography, Geodesy & Geographic Information Systems

It has never been this cheap. We have no record of a lower price.

£42 today · cheaper than every other day in the last 3 months

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 25 days • 25 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 25 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £49 (11 days, 44.0%)

Price range: £42 - £49

Price levels: 4 different prices over 25 days

Description

This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data. Key Features: Showcases the excellent data science environment in Python Provides examples for readers to replicate, adapt, extend, and improve Covers the crucial knowledge needed by geographic data scientists It presents concepts in a far more geographic way than competing textbooks, covering spatial data, mapping, and spatial statistics whilst covering concepts, such as clusters and outliers, as geographic concepts. Intended for data scientists, GIScientists, and geographers, the material provided in this book is of interest due to the manner in which it presents geospatial data, methods, tools, and practices in this new field.

Key Features

New Store Stock

Product Specifications

Brand: Chapman and Hall/CRC
Format: paperback
ASIN: 1032445955
Category: Books > Subjects > Science, Nature & Maths > Earth Sciences > Geography > Cartography, Geodesy & Geographic Information Systems
Domain: Amazon UK
Release Date: 14 June 2023
Listed Since: 24 November 2022

Barcode

No barcode data available

Chapman and Hall/CRC Geographic Data Science with Python (Chapman & Hall/CRC Texts in Statistical Science)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks

Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems

Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence

Geospatial Application Development Using Python Programming (Advances in Geospatial Technologies)

Geocomputation with Python (Chapman & Hall/CRC The Python Series)

Geospatial Data Science Techniques and Applications

Geocomputation: A Practical Primer (Spatial Analytics and GIS)

Thinking Big Data in Geography: New Regimes, New Research

Spatial Data Analysis: Theory and Practice

Statistics in Geography: A Practical Approach - Revised with 17 Programs

Geospatial Data Science Techniques and Applications

Essential Graphical Techniques in Geography (Advances in Geographical and Environmental Sciences)

Learning R for Geospatial Analysis: Leverage the power of R to elegantly manage crucial geospatial analysis tasks

Geographical Data Science and Spatial Data Analysis: An Introduction in R (Spatial Analytics and GIS)

Geographical Data: Characteristics and Sources

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

Practical Statistics for Geographers and Earth Scientists

Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

Python Geospatial Analysis Cookbook

Mathematical Techniques in GIS

Computational Methods and GIS Applications in Social Science - Lab Manual

Springer Geocomputation and Urban Planning - Vol 176

Encyclopedia of Geographic Information Science

Oxford University Press - Spatial Data Analysis for GIS Users