Spatial Analysis: Statistics, Visualization, and Computational Methods (Hardcover)

Tonny J. Oyana, Florence Margai

買這商品的人也買了...

商品描述

An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present practical applications of geospatial data tools, techniques, and strategies in geographic studies. They offer a problem-based learning (PBL) approach to spatial analysis―containing hands-on problem-sets that can be worked out in MS Excel or ArcGIS―as well as detailed illustrations and numerous case studies.

 

The book enables readers to:

 

 

 

  • Identify types and characterize non-spatial and spatial data
  • Demonstrate their competence to explore, visualize, summarize, analyze, optimize, and clearly present statistical data and results
  • Construct testable hypotheses that require inferential statistical analysis
  • Process spatial data, extract explanatory variables, conduct statistical tests, and explain results
  • Understand and interpret spatial data summaries and statistical tests

 

Spatial Analysis: Statistics, Visualization, and Computational Methods incorporates traditional statistical methods, spatial statistics, visualization, and computational methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Topics covered include: spatial descriptive methods, hypothesis testing, spatial regression, hot spot analysis, geostatistics, spatial modeling, and data science.

商品描述(中文翻譯)

《空間分析:統計、視覺化和計算方法》是一本針對下一代地理空間分析師和數據科學家的入門書籍,專注於使用傳統、現代和計算方法的空間分析基礎知識。該書概述了非空間和空間統計概念,並在地理研究中提供了地理空間數據工具、技術和策略的實際應用。作者們提供了一種基於問題的學習方法,其中包含可以在MS Excel或ArcGIS中解決的實踐問題集,以及詳細的插圖和眾多案例研究。

本書使讀者能夠:
- 辨識非空間和空間數據的類型並進行特徵描述
- 展示他們探索、視覺化、總結、分析、優化和清晰呈現統計數據和結果的能力
- 構建需要推論統計分析的可測試假設
- 處理空間數據,提取解釋變量,進行統計檢驗並解釋結果
- 理解和解釋空間數據摘要和統計檢驗結果

《空間分析:統計、視覺化和計算方法》結合了傳統統計方法、空間統計、視覺化和計算方法和算法,提供了一種基於概念的問題解決學習方法,以掌握實際的空間分析。涵蓋的主題包括:空間描述方法、假設檢驗、空間回歸、熱點分析、地理統計、空間建模和數據科學。