# Statistical Analysis of Geographic Information with ArcView GIS And ArcGIS

### David W. S. Wong, Jay Lee

• 出版商:
• 出版日期: 2005-10-01
• 售價: \$5,700
• 貴賓價: 9.5\$5,415
• 語言: 英文
• 頁數: 464
• 裝訂: Hardcover
• ISBN: 0471468991
• ISBN-13: 9780471468998
• 相關分類:
• 海外代購書籍(需單獨結帳)

## 商品描述

Description

Statistical Analysis and Modeling of Geographic Information with ArcView GIS is an update to Lee and Wong's Statistical Analysis with ArcView GIS, featuring expanded coverage of classical statistical methods, probability and statistical testing, new student exercises to facilitate classroom use, new exercises featuring interactive ArcView Avenue scripts, and a new overview of compatible spatial analytical functions in ArcGIS 9.0.

PREFACE.

ACKNOWLEDGMENTS.

1 INTRODUCTION.

1.1 Why Statistics and Sampling?

1.2 What Are Special about Spatial Data?

1.3 Spatial Data and the Need for Spatial Analysis/ Statistics.

1.4 Fundamentals of Spatial Analysis and Statistics.

1.5 ArcView Notes—Data Model and Examples.

PART I: CLASSICAL STATISTICS.

2 DISTRIBUTION DESCRIPTORS: ONE VARIABLE (UNIVARIATE).

2.1 Measures of Central Tendency.

2.2 Measures of Dispersion.

2.3 ArcView Examples.

2.4 Higher Moment Statistics.

2.5 ArcView Examples.

2.6 Application Example.

2.7 Summary.

3 RELATIONSHIP DESCRIPTORS: TWO VARIABLES (BIVARIATE).

3.1 Correlation Analysis.

3.2 Correlation: Nominal Scale.

3.3 Correlation: Ordinal Scale.

3.4 Correlation: Interval /Ratio Scale.

3.5 Trend Analysis.

3.6 ArcView Notes.

3.7 Application Examples.

4 HYPOTHESIS TESTERS.

4.1 Probability Concepts.

4.2 Probability Functions.

4.3 Central Limit Theorem and Confidence Intervals.

4.4 Hypothesis Testing.

4.5 Parametric Test Statistics.

4.6 Difference in Means.

4.7 Difference Between a Mean and a Fixed Value.

4.8 Significance of Pearson’s Correlation Coefficient.

4.9 Significance of Regression Parameters.

4.10 Testing Nonparametric Statistics.

4.11 Summary.

PART II: SPATIAL STATISTICS.

5 POINT PATTERN DESCRIPTORS.

5.1 The Nature of Point Features.

5.2 Central Tendency of Point Distributions.

5.3 Dispersion and Orientation of Point Distributions.

5.4 ArcView Notes.

5.5 Application Examples.

6 POINT PATTERN ANALYZERS.

6.1 Scale and Extent.

6.3 Ordered Neighbor Analysis.

6.4 K-Function.

6.5 Spatial Autocorrelation of Points.

6.6 Application Examples.

7 LINE PATTERN ANALYZERS.

7.1 The Nature of Linear Features: Vectors and Networks.

7.2 Characteristics and Attributes of Linear Features.

7.3 Directional Statistics.

7.4 Network Analysis.

7.5 Application Examples.

8 POLYGON PATTERN ANALYZERS.

8.1 Introduction.

8.2 Spatial Relationships.

8.3 Spatial Dependency.

8.4 Spatial Weights Matrices.

8.5 Spatial Autocorrelation Statistics and Notations.

8.6 Joint Count Statistics.

8.7 Spatial Autocorrelation Global Statistics.

8.8 Local Spatial Autocorrelation Statistics.

8.9 Moran Scatterplot.

8.10 Bivariate Spatial Autocorrelation.

8.11 Application Examples.

8.12 Summary.

APPENDIX: ArcGIS Spatial Statistics Tools.

INDEX.

## 商品描述(中文翻譯)

《ArcView GIS地理信息的統計分析和建模》是Lee和Wong的《ArcView GIS統計分析》的更新版，擴展了對傳統統計方法、概率和統計檢驗的涵蓋範圍，新增了學生練習以促進課堂使用，新增了使用互動ArcView Avenue腳本的練習，以及對ArcGIS 9.0中兼容的空間分析功能的新概述。

1 引言。

1.1 為什麼需要統計和抽樣？

1.2 空間數據的特殊性？

1.3 空間數據和空間分析/統計的需求。

1.4 空間分析和統計的基礎知識。

1.5 ArcView筆記-數據模型和示例。

2 分佈描述：單變量。

2.1 中心趨勢的度量。

2.2 離散程度的度量。

2.3 ArcView示例。

2.4 高階矩統計。

2.5 ArcView示例。

2.6 應用示例。

2.7 摘要。

3 關係描述：雙變量。

3.1 相關分析。

3.2 相關：名義尺度。

3.3 相關：順序尺度。

3.4 相關：間隔/比例尺度。

3.5 趨勢分析。

3.6 ArcView筆記。

3.7 應用示例。

4 假設檢驗。

4.1 概率概念。

4.2 概率函數。

4.3 中心極限定理和置信區間。

4.4 假設檢驗。

4.5 參數檢驗統計量。

4.6 平均值之差異。

4.7 平均值和固定值之差異。

4.8 Pearson相關係數的顯著性。

4.9 迴歸參數的顯著性。

4.10 非參數統計檢驗。

4.11 摘要。

5 點模式描述。

5.1 點要素的性質。

5.2 點分佈的中心趨勢。

5.3 點分佈的離散程度和方向。

5.4 ArcView筆記。

5.5 應用示例。

6 點模式分析。

6.1 尺度和範圍。

6.2 方格分析。

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