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
About the Author:
Mukunda Mishra is an Assistant Professor, Department of Geography, at Dr. Meghnad Saha College in West Bengal, India. The college is affiliated to the University of Gour Banga. Dr. Mishra completed his postgraduate studies in Geography and Environmental Management at Vidyasagar University (receiving top rank in both the B.Sc. and M.Sc. panels of merit) and holds a Ph.D. in Geography from the same University. He was selected for the prestigious National Merit Scholarship by the Ministry of Human Resource Development, Government of India. His research chiefly focuses on analyzing unequal human development, and on creating multi-criteria predictive models. He has more than ten years of hands-on experience in dealing with development issues at the ground level in various districts of eastern India.
Soumendu Chatterjee is a Professor and Head of the Department of Geography at Presidency University in Kolkata, India. He has been teaching Geographical Science at the undergraduate and graduate levels for more than twenty years. His primary research interest is in creating scientific models for predicting complex physical and human processes on the Earth's surface. He has more than fifty publications in national and international journals of repute to his credit, and has headed several research projects funded by the University Grants Commission (of India), Department of Science & Technology (GoI), Indian Council of Social Science Research (ICSSR) and other respected agencies in India and abroad.
