Abstract

Acknowledgement

Table of Contents

List of Tables

List of Maps

List of Figures

Chapter One: Introduction

1.1 Background

1.2 Objectives

1.3 Rationale

Chapter Two: Methodology

2.1 Conceptualization

2.2 Literature Review

2.3 Study Area

2.4 Application Selection

2.5 Data Collection

2.6 Comparative Analysis of Data Models

2.7 Development of Guidelines and Matrix

Chapter Three: Study Area

3.1 Location

3.2 Growth of Khulna

3.3 Demographic Features

3.4. Topography

3.5 Land Use

3.6 Climate

Chapter Four: Prospect of GIS Application in Planning

4.1 Definition of GIS

4.2 Short History of GIS Software

4.3 The "Critical Six" Functional Capabilities

4.4 Integration of GIS with Other Fields

4.4.1 Integration with Remote Sensing

4.4.2 Integration with Modern Survey Equipments

4.5 Use and Prospect of GIS in Planning

Chapter Five: Data Model

5.1 Introduction

5.2 Data Model Definition

5.3 Data Models Used in GIS

5.4 Spatial Data Models of GIS

5.4.1 Vector Data Model

5.4.2 Raster Data Model

5.4.3 Hybrid Data Model

Chapter Six: Vector Data Model and Its Application

6.1 Introduction

6.2 Structure of Vector Data Model

6.3 Special Feature of Vector Data Model

6.4 Vector Data Model Application: Site Selection for Cinema in Khulna City

6.4.1 Rationale

6.4.2 Criteria for Site Selection

6.4.3 Working Process

6.4.4 Findings

6.4.5 Conclusion

Chapter Seven: Raster Data Model and Its Application

7.1 Introduction

7.2 Structure of Raster Data Model

7.3 Methods for Determining Raster Cell Values

7.4 Raster Storage and Compression Techniques

7.5 Special Type of Raster Data Model

7.6 Raster Data Model Application: Air Pollution Intensity Mapping of Khulna City

7.6.1 Rationale

7.6.2 Type of Air Pollutant

7.6.3 Working Process

7.6.4 Findings

7.6.5 Conclusion

Chapter Eight: TIN Data Model and Its Application

8.1 Introduction

8.2 Structure of TIN Data Model

8.3 Topology

8.4 Triangulation Methods

8.4.1 Deluanay Method

8.4.2 Important Points Method

8.4.3 Adaptive Densification Method

8.5 Components of TIN

8.6 Application of TIN Data Model:  3D Visualization of Urban Settings

8.6.1 Working Process

8.6.2 Output

8.6.3 Conclusion

Chapter Nine: Development of Guidelines and Matrix

9.1 Introduction

9.2 Advantages and Disadvantages of Data Models

9.3 Choice of Data Model

9.4 Guidelines to Select Suitable Data Model

9.5 Evaluating a Data Model

9.6 Matrix to Select Suitable Data Model

Chapter Ten: Conclusion

10.1 Conclusion

Reference

Annexure

Annexure A: SML for Network Allocation

Annexure B: Avenue Scripts

Annexure C: Methods of Interpolation

Annexure D: VRML Programs

Annexure E: CD ROM Containing 3D Views

Annexure F: Questionnaire for Demand Analysis of Cinema

Table 3.1: Population Growth in Khulna City, 1901 - 1998

Table 3.2: Existing Land Use Pattern of Khulna City

Table 6.1: Demand for Cinema in Khulna City

Table 6.2: Capacity of Cinema of Khulna City

Table 7.1: Grouping of the Pollutant According to WHO Health Based Standard

Table 7.2: Parameters of Reclassification

Table 7.3:  Area Coverage of NOx in Khulna City

Table 7.4: Area Coverage of SOx in Khulna City

Table 7.5: Area Coverage of SPM in Khulna City

Table 7.6: Area Coverage of  air pollutant in Khulna City (comparative level)

Table 9.1: Advantage and Disadvantage of Vector and Raster Data Model

Table 9.2: Matrix to Select Suitable Data Model

Map 3.1: Study Area Location in Context of Bangladesh and Khulna District

Map 3.2: Population Density of  Khulna City

Map 3.3: Income Group of Khulna City

Map 3.4: Land Elevation of Khulna City

Map 3.5: Land Use of Khulna City

Map 6.1: Sample Area for Demand Calculation of Cinema in Khulna City

Map 6.2: Location of Cinema in Khulna City

Map 6.3: Allocated Network of Cinema in Khulna City

Map 6.4: Allocated Area of Cinema in Khulna City

Map 6.5: Unallocated Area of Cinema in Khulna City

Map 6.6: Unallocated Area of Cinema Considering Land Uses in Khulna City

Map 6.7: Potential Suitable Area of Cinema in Khulna City

Map 6.8: Suitable Area for Cinema in Khulna City Considering All the Perimeters

Map 7.1: Pollution Caused by NOx in Khulna City

Map 7.2: Pollution Caused by SOx in Khulna City

Map 7.3: Pollution Caused By SPM in Khulna City

Map 7.4: Comparative Air Pollution of Khulna City

Map 7.5: Air Pollution at Industrial Area of Khulna City

Map 7.6: Air Pollution at Residential Area of Khulna City

Map 7.7: Air Quality at Different Land Use of Khulna City

Map 8.1: Selected Area for 3D Visualization in Khulna City

Map 8.2: 3D Visualization of an Under Developed Area at Gallamari of Khulna City

Map 8.3: 3D Visualization of a Mixed Use Area at Moilapota of Khulna City

Map 8.4: 3D Visualization of a Planned Residential at Nirala of Khulna City

Figure 3.1: Population of Khulna Municipality/KCC Area 1901-1991

Figure 4.1: Key Components of GIS

Figure 5.1: Spaghetti Data Model

Figure 5.2: Topological Model

Figure 5.3: TIN Data Model

Figure 5.4: Raster Data Storage System

Figure 5.5: Conversion to Row and Cell

Figure 6.1: Map Query to Select Allocated Arc

Figure 6.2: Adding Field and Setting Value to Shape Database Table

Figure 6.3: Union of Two Themes

Figure 6.4: Finding Areas Within Distance of 20 m

Figure 7.1: Parameters of Interpolation

Figure 7.2: Model for Weighted Overlay of Three DEMs

Figure 7.3: Parameters of Weighted Overlay

Figure 7.4: Example of Weighted Overlay process

Figure 7.5: Area Coverage of NOx in Khulna City

Figure 7.6: Area Coverage of SOx in Khulna City

Figure 7.7: Area Coverage of SPM in Khulna City

Figure 7.8: Area Coverage of Air Pollutants (comparative level)

Figure 8.1: Surface TIN Parameters

Figure 8.2: 3D Parameter Window

Figure 8.3: Advanced 3D Properties

Figure 8.4: 3D Scene Properties Used for 3D Visualization of an Underdeveloped Area

Figure 8.5: 3D scene Properties Used for 3D Visualization of a Mixed Use Area

Figure 8.6: 3D scene Properties Used for 3D Visualization of a Planned Residential Area

Figure 8.7: Virtual View of Urban Settings

Figure 9.1: Raster vs. Vector Data Model

Figure 9.2: Raster vs. Vector Structure