Spatial Data Analysis: An Introduction for GIS users (Paperback)

Description

What is the shortest route between one point and another in a road network? Where is the incidence of disease the highest? How does rainfall correlate with altitude? How does the concentration of a pollutant vary in space, and where do high concentrations correlate with densely populated areas?

Geographical or spatial data play a vital role in many parts of daily life. We are dependent on information about where things are located and about the attributes of those things, either directly, as in the use of a map for navigating around a city, or indirectly, where we use resources like water or gas.

Spatial Data Analysis: An Introduction for GIS Users introduces students to key principles about spatial data, the methods used to explore such data, and the kinds of problems that can be tackled using widely available analytical tools. Taking a gradual, systematic approach, the text opens with coverage of core concepts; these ideas are illustrated and reinforced with careful explanations, numerous worked examples, and case studies throughout the book.

Accessible to students who are new to the field, Spatial Data Analysis focuses on education rather than simple training; it not only shows students how to apply data analysis tools but also demonstrates how those tools work. A Companion Website provides resources for both students and instructors.

描述
在道路網絡中，兩點之間的最短路徑是什麼？疾病的發生率最高的地方在哪裡？降雨量與海拔高度有何相關？污染物的濃度在空間中如何變化，高濃度與人口稠密地區有何相關？地理或空間數據在日常生活的許多方面起著至關重要的作用。我們依賴於有關事物位置和屬性的信息，無論是直接使用地圖在城市中導航，還是間接使用水或天然氣等資源。《空間數據分析：GIS用戶入門》向學生介紹了有關空間數據的關鍵原則，探索此類數據的方法以及可以使用廣泛可用的分析工具解決的問題類型。本書以漸進、系統的方式開始，首先介紹核心概念；這些想法通過仔細的解釋、大量的實例和案例研究來加以說明和強化。《空間數據分析》適用於初學者，重點是教育而不僅僅是培訓；它不僅向學生展示如何應用數據分析工具，還演示了這些工具的工作原理。附帶網站為學生和教師提供資源。