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Contouring Human Development : Methods and Applications Using an Indian District as Case Study - Mukunda Mishra

Contouring Human Development

Methods and Applications Using an Indian District as Case Study

By: Mukunda Mishra, Soumendu Chatterjee

Hardcover | 12 May 2020

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1. Does geography matter in human development?

1.1. Introduction

1.2. Conceptualizing human development

1.3. 'Geography' as discipline & 'Geography' as perspective

1.4. Location matters: revisiting the history of civilization

1.5. The mosaic of human development

1.5.1. International scenario

1.5.2. National scenario

1.5.3. Down to local scale

1.6. Why does geography mater in human development

1.7. Conclusion

2. On contouring human development

2.1. Introduction

2.1.1. Analyzing human development: Post 1960's new synthesis

2.1.2. The UN Human Development Report: changing style to discuss human development

2.1.3. Micro-spatial analysis of Human Development: Limitations of HDI

2.1.4. Toward alternative methods for mapping micro-spatial Human Development

2.1.5. Assumptions: contouring human development with micro-spatial datasets

2.1.6. Prospects of the alternative methods

2.3. Materials for mapping

2.3.1. Datasets

2.3.2. Software

2.4. Multi-criteria based predictive mapping

2.4.1. Single criteria vs multi-criteria mapping

2.4.2. Predictive mapping: the new dimension

2.4.3. Multi-criteria based predictive mapping: how to draw?

2.5. A glimpse of relevant investigations done

2.6. Conclusion


3. Briefing the area for case study

3.1. Introduction

3.2. Location of the study area

3.2. Physical set-up of the study area

3.3. Socio-economic-cultural characteristics of the study area

3.4 Livelihood, Economy and its modification over time

3.4.1. Pre National Planning phase

3.4.2. Post 1950s scenario

3.5. Conclusion

4. Mapping the components of human development

4.1. Introduction

4.2. Principal Component Analysis (PCA)

4.2.1. Principle of PCA

4.2.2. Application of PCA on socio-economic datasets

4.2.3. Advantages & Limitations of PCA

4.2.3. Selecting variables & arranging datasets for PCA

4.3. Case Study: Mapping components of human development in Purulia district using PCA

4.4. Conclusion

5. Mapping economic inequality

5.1. Introduction

5.2. Commentary on non-spatial economic inequality

5.2.1. Income distribution curve

5.2.2. How to draw the income distribution curve

5.3. Case Study: Examining non-spatial economic inequality in Purulia district using

income curve

5.4. The relative deprivation of income

5.4.1. About relative deprivation

5.4.2. Graphing the relative deprivation of income

5.5. Case Study: Assessing relative deprivation of income in Purulia District

5.6. Mapping economic inequality with wor

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