Date of Award

Spring 5-2017

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Geography and Regional Planning

First Advisor

Sudeshna Ghosh, Ph.D.

Second Advisor

Brian Okey, Ph.D.

Third Advisor

Richard Hoch, Ph.D.

Abstract

With the continuing rise of urban and slum populations, new ways of studying the slum phenomenon and slum conditions are of growing importance. This study analyzes the spatial distribution patterns of visual indicators of slum conditions in Rajarghat, a slum settlement in Kolkata, India. Using field observation and GPS survey data, the visual indicators developed in this study are: 1) Housing Condition, 2) Access to Water, 3) Access to Sanitation, and 4) Access to Amenities. I then apply spatial analysis techniques, such as Local Moran’s I and HotSpot Analysis to assess these patterns. Significant patterns, both clustering and dispersion, were found. An index of adequacy is also created to further assess the slum conditions of Rajarghat. Repeatable methods are also generated for future, similar analysis.

Included in

Geography Commons

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