(Ebook PDF) Spatial Analysis Using Big Data Methods and Urban Applications 1st edition by Yoshiki Yamagata, Hajime Seya ISBN 9780128131329 0128131322 full chapters

(Ebook PDF) Spatial Analysis Using Big Data: Methods and Urban Applications 1st edition by Yoshiki Yamagata, Hajime Seya-Ebook PDF Instant Download/Delivery:9780128131329, 0128131322 

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Product details:

ISBN 10: 0128131322
ISBN 13: 9780128131329,
Author:  Yoshiki Yamagata, Hajime Seya

Table of contents:

Part One: Methods

Chapter One: Introduction

1. The Definition of Spatial Data

2. Characteristics of Spatial Data

   • Spatial Autocorrelation

   • Spatial Heterogeneity

Chapter Two: Mathematical Preparation

1. Definitions of Notations

2. The Classical Linear Regression Model

3. The Generalized Linear Model

4. The Additive Model

5. The Basics of Bayesian Statistics

Chapter Three: Global and Local Indicators of Spatial Associations

1. Spatial Weight Matrix

2. Testing for Spatial Autocorrelation

3. Testing for Spatial Heterogeneity

Chapter Four: Geostatistics and Gaussian Process Models

1. What is Geostatistics?

2. Geostatistical Model

3. Parameter Estimation

4. Kriging

5. Universal Kriging

6. Extended Model

7. Hierarchical Bayesian Model

8. Spatiotemporal Model

9. Methods for Large Data

Chapter Five: Spatial Econometric Models

1. What is Spatial Econometrics?

2. Spatial Econometric Models

3. Parameter Estimation of Spatial Econometric Models

4. Testing Spatial Autocorrelation Based on Spatial Econometric Models

5. Testing Spatial Heterogeneity Based on Spatial Econometric Models

6. Related Methods

7. Methods for Large Data

Chapter Six: Models in Quantitative Geography

1. Introduction

2. Geographically Weighted Regression Models

3. Spatial Filtering Approach

4. Methods for Large Data

Part Two: Implementations

Chapter Seven: Implementation with R Language

1. Implementation of Spatial (Geo-)Statistical and Spatial Econometric Methods with R

2. Housing Price Data in Lucas County (Ohio, USA)

3. R Package for Spatial Features: sf

4. Global and Local Indicators of Spatial Associations

5. Geostatistics

6. Spatial Econometrics

7. Quantitative Geography

Part Three: Applications

Chapter Eight: Spatial Heat-Wave Assessments Using Geotagged Twitter Data

1. Introduction

2. Geotagged Twitter Data

3. Spatial Field Reconstruction of Intraurban High-Resolution Temperature Profiles Using Heat-Tweet Geotagged Twitter Data

4. Application to Temperature Interpolation

5. Concluding Remarks

Chapter Nine: Evaluating Walkability Using Mobile GPS Data

1. Introduction

2. Data and Methods

3. Estimation Results

4. Individual-Level Walkability Evaluation Considering Heat-Wave Stress

5. Discussion and Concluding Remarks

Chapter Ten: Spatial Scenario Creation Based on Downscale Methods

1. Introduction

2. Downscaling Approach

3. Downscaling Results

4. Concluding Remarks

Chapter Eleven: Quasi Real-Time Energy Use Estimation Using Google’s Popular Times Data

1. Introduction

2. Materials and Methods

3. Estimation Results

4. Concluding Remarks

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