Mapping and Sampling Resources

Mapping with geographic information system (GIS) technology can help program planners identify urban poor populations, who often live in slums and are commonly excluded from official population counts. This section includes materials on slum mapping associated with the Urban Reproductive Health Initiative (Urban RH Initiative), which can be adapted by other programs.

French Abstract

Ressources : localisation et échantillons

Cartographier avec la technologie du Système d'Information Géographique permet d'aider les prlannificateurs de proogrammes à identifier les populations urbaines défavorisées qui vivent souvent dans des bidonvilles et sont souvent exclues des comptes démographiques officiels. Cette section inclut les matériels de cartographie des bidonvilles associés à la Urban RH Initiative qui peuvent être adaptés par d'autres programmes.

GIS & mapping tools for water and sanitation infrastructure

Water & Sanitation for the Urban Poor (WSUP)

2011

This document introduces three recently developed tools that enable web-based geographical representation of data in the design and monitoring of WASH systems.

Mapping Poor Settlements in Bangladesh

Searchlight South Asia

2011

This article discusses an example of urban mapping that is currently taking place in Bangladesh.

Remote Sensing for the Mapping of Urban Poverty and Slum Areas

Netzband M, Rahman A

2010

This document focuses on urban remote sensing (RS) as a useful tool for urban planning and identifies the spatial patterns of urban poverty.

Sekondi-Takoradi Poverty Map: A guide to urban poverty reduction in Sekondi-Takoradi

CHF International Ghana

2010

The main purpose of this urban poverty mapping is to display the spatial dimensions of poverty and identify pockets of poverty across Sekondi-Takoradi in Ghana. The poverty maps are expected to serve as a basis for targeting disadvantaged areas and for general evaluation of geographically oriented actions, including a citywide poverty-reduction strategy.

The role of urban municipal governments in reducing health inequities: A meta-narrative mapping analysis.

Collins PA|Hayes MV

2010

Background: The 1986 Ottawa Charter for Health Promotion coincided with a preponderance of research, worldwide, on the social determinants of health and health inequities. Despite the establishment of a 'health inequities knowledge base', the precise roles for municipal governments in reducing health inequities at the local level remain poorly defined. The objective of this study was to monitor thematic trends in this knowledge base over time, and to track scholarly prescriptions for municipal government intervention on local health inequities.

Assisting the Survey Listing Process Using Geography

Mankoff C

2009

This presentation was put together by Chris Mankoff from the MLE Project. It describes the relationship between mapping and sampling. This presentation describes the purpose of the slum mapping for the MLE sampling.

Bangladesh Urban Health Survey: Methods and RH results.

Schurmann A

2009

This presentation focused on the sampling methodology for the Urban Health Survey (UHS) and a comparison of results of the 2006 UHS and the 2007 Bangladesh Demographic and Health Survey (BDHS).

Slums of urban Bangladesh: mapping and census, 2005.

Islam N|Angeles G|Mahbub A|Lance P|Nazem NI

2006

This report presents results from a census and mapping of slums in the six main cities of Bangladesh in 2005. This effort has generated a wealth of information about the location and basic characteristics of their slums. The outputs include detailed maps of the six cities providing timely information on the location of slums within each, including highly detailed ward-level maps revealing the position and geographic size of the slums within them.

Global Positioning System: How it Works and Sources of Error

Spencer J

2005

This presentation was put together by John Spencer from the MEASURE Evaluation project to provide an overview of how GPS functions.

Sampling Guide

Magnani R

1997

The purpose of sampling is to reduce the cost of collecting data about a population by gathering information from a subset instead of the entire population. Sample surveys are often the most feasible means of gathering the data required for program evaluations. This guide by Robert Magnani shows how to choose samples of communities, households, and/or individuals for such surveys so that, when combined with appropriate indicators and evaluation study designs, will permit valid conclusions to be drawn as to the effectiveness of programs.