Geographic Data Science with Python (Paperback)

Rey, Sergio, Arribas-Bel, Dani, Wolf, Levi John

Geographic Data Science with Python (Paperback)
  • 出版商: CRC
  • 出版日期: 2023-06-14
  • 售價: $2,400
  • 貴賓價: 9.5 折 $2,280
  • 語言: 英文
  • 頁數: 378
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032445955
  • ISBN-13: 9781032445953
  • 相關分類: Python、程式語言、地理資訊系統 Gis、Data Science

    • 立即出貨 (庫存=1)

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商品描述

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.

商品描述(中文翻譯)

這本書提供了應對當代地理問題和數據的數據科學工具、方法和理論。在普及、大量、頻繁和快速的數據新世界中，我們有機會更好地理解和分析地理在日常生活中的作用。《使用Python進行地理數據科學》介紹了一種新的分析思維方式，通過使用地理和計算推理，向讀者展示如何揭示數據中隱藏的新見解。

主要特點：
- 展示了Python中優秀的數據科學環境。
- 提供讀者複製、適應、擴展和改進的示例。
- 涵蓋地理數據科學家所需的重要知識。

與競爭教材相比，本書以更地理化的方式呈現概念，包括空間數據、地圖和空間統計，同時將集群和異常值等概念視為地理概念。

本書面向數據科學家、地理信息科學家和地理學家，因其以新領域中的地理空間數據、方法、工具和實踐呈現方式而引起興趣。

作者簡介

Sergio Rey is Professor of Geography and Founding Director of the Center for Open Geographical Science at San Diego State University. Rey is the creator and lead developer of the open source package STARS: Space-Time Analysis of Regional Systems as well as co-founder and lead developer of PySAL: A Python Library for Spatial Analysis. He is an elected fellow of the Regional Science Association International, a fellow of the Spatial Econometrics Association, and has served as the Editor of the International Regional Science Review from 1999-2014, editor of Geographical Analysis 2014-2017, and the president of the Western Regional Science Association.

Dani Arribas-Bel is a Professor in Geographic Data Science at the Department of Geography and Planning of the University of Liverpool (UK), and Deputy Programme Director for Urban Analytics at the Alan Turing Institute, where he is also ESRC Fellow. At Liverpool, he is a member of the Geographic Data Science Lab, and directs the MSc in Geographic Data Science.

Levi John Wolf is a Senior Lecturer/Assistant Professor in Quantitative Human Geography at the University of Bristol's Quantitative Spatial Science Lab, Fellow at the University of Chicago Center for Spatial Data Science, an Affiliate Faculty at the University of California, Riverside's Center for Geospatial Sciences, and Fellow at the Alan Turing Institute. He works in spatial data science, building new methods and software to learn new things about social and natural processes.

作者簡介(中文翻譯)

Sergio Rey是聖地牙哥州立大學地理學教授，也是開放地理科學中心的創始主任。Rey是開源軟體STARS: Space-Time Analysis of Regional Systems的創造者和主要開發者，同時也是Python空間分析庫PySAL的共同創辦人和主要開發者。他是國際區域科學協會的當選會士，空間計量經濟學協會的會士，並曾擔任國際區域科學評論的編輯（1999-2014年），地理分析的編輯（2014-2017年），以及西部區域科學協會的主席。

Dani Arribas-Bel是英國利物浦大學地理與規劃系地理數據科學教授，也是艾倫·圖靈研究所城市分析副計畫主任，同時也是英國經濟社會研究委員會研究員。在利物浦大學，他是地理數據科學實驗室的成員，並指導地理數據科學碩士課程。

Levi John Wolf是布里斯托大學量化人文地理學高級講師/助理教授，也是芝加哥大學空間數據科學中心的研究員，加州大學河濱分校地理空間科學中心的聯合教職員，以及艾倫·圖靈研究所的研究員。他從事空間數據科學研究，開發新的方法和軟體，以了解社會和自然過程的新知識。

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