Geographic Data Science with Python (Paperback)
暫譯: 使用 Python 的地理數據科學 (平裝本)
Rey, Sergio, Arribas-Bel, Dani, Wolf, Levi John
- 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
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相關分類:
Data Science
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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數據科學在地理問題和數據應用中的挑戰所需的工具、方法和理論。在這個普遍存在、大量、頻繁且快速的數據新世界中，理解和分析地理在日常生活中所扮演的角色有了新的機會。《Geographic Data Science with Python》通過使用地理和計算推理，介紹了一種新的分析思維方式，向讀者展示如何解鎖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。
● 提供了供讀者複製、調整、擴展和改進的範例。
● 涵蓋了地理數據科學家所需的關鍵知識。
本書以比競爭教材更具地理性的方式呈現概念，涵蓋了空間數據、地圖製作和空間統計，同時將聚類和異常值等概念作為地理概念進行探討。
本書的內容適合數據科學家、地理資訊科學家和地理學家，因為它以新領域的方式呈現地理空間數據、方法、工具和實踐，對讀者具有吸引力。
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及開放地理科學中心的創始主任。Rey 是開源套件 STARS（區域系統的時空分析）的創建者和首席開發者，同時也是 PySAL（用於空間分析的 Python 函式庫）的共同創辦人和首席開發者。他是國際區域科學協會的當選會員，空間計量經濟學協會的會員，並曾於 1999 至 2014 年擔任《國際區域科學評論》的編輯，2014 至 2017 年擔任《地理分析》的編輯，以及西部區域科學協會的會長。
Dani Arribas-Bel 是英國利物浦大學地理與規劃系的地理數據科學教授，並擔任艾倫·圖靈研究所城市分析的副項目主任，同時也是英國社會科學研究委員會的研究員。在利物浦，他是地理數據科學實驗室的成員，並負責地理數據科學碩士課程的指導。
Levi John Wolf 是布里斯托大學定量人文地理學的高級講師/助理教授，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附屬教員，以及艾倫·圖靈研究所的研究員。他專注於空間數據科學，致力於建立新方法和軟體，以了解社會和自然過程的新知識。
