Back to results

Massachusetts Institute of Technology

Visible communities : designing a socio-spatial map

Abstract

dc:description.abstract

This thesis presents a collaborative human-machine crowdmapping approach to creating socio-spatial maps that represent both spatial and social aspects of communities. Our implemented system combines satellite image analytics, a mobile mapping app, and social survey data. The system is designed to provide an end user experience that aligns institutional interests with grassroots interests, resulting in a self-sustaining system. In collaboration with the global health organization Partners in Health, we tested our approach with local health workers in Rwanda. Better maps can improve local visibility and empower communities to share knowledge, trade goods, and access medical services. Assisted by automatically annotated satellite maps, the community-driven mapping resulted in detailed spatial and social maps for four rural villages. With the collected data, we designed a novel socio-spatial map for this community that combines knowledge about household locations, paths, inhabitants of those homes, and social relations between residents. Generalizing from this map, we propose a framework to organize people, places, paths, and relationships to reason about the intersection of social and spatial mapping. Furthermore, we derive design characteristics of our human-machine mapping system that can guide the development of new systems in related contexts. Socio-spatial maps have the potential to be used as critical decision-making tools for individuals and organizations alike.

Degree

thesis:*
Department dc:contributor.department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Schaad, Raphael
Advisor dc:contributor.advisor
  • Deb Roy.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/112545
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/112545

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Schaad, Raphael. Visible communities : designing a socio-spatial map. Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112545