| The Urban Indicators project was
funded by U.S. Department of Housing and Urban Development (HUD) The
University Consortium of Geographic Information Science (UCGIS) with
support from HUD and GIS software manufacturer, ESRI, announced a call
for proposals in Fall 2000. Five U.S universities received funding for
one year (Feb 1 2001- Feb 28, 2002). Collectively, the five research
projects demonstrate how GI technologies and urban indicator data can
be used to conduct analyses at the sub-city (neighborhood) scale in
order to empower decision makers in developing countries. Each
university worked with one or more international partners.
The University of Wisconsin-Milwaukee
(UWM) was one of the five funded universities. Our proposal built upon
an existing inter-university partnership between the University of
Wisconsin-Milwaukee (UWM) and the Université Cheikh Anta Diop de Dakar
(UCAD). In Milwaukee, the research team consisted of faculty from the
Departments of Anthropology, Geography, and Urban Planning.
UWM Project Goals
 | Develop a set of web-based training
modules that will allow researchers and students in developing
countries (in this case, Senegal) to use simple spatial analysis
techniques and Arc View software to map and analyze local indicator
data at a range of scales |
 | Develop a sustainable and
replicable strategy to conduct urban indicator analysis using GI
technologies in developing countries such as Senegal |
Findings and Policy Implications
 | The participatory methods and
techniques used in this project, increased awareness among key
decision makersin different sectors of the advantages in using urban
indicators and GI technologies to make policy decisionsand
day-to-day management decisions. A direct outcome of our project has
been the establishment of aregional GIS steering committee that will
facilitate the adoption of these methods and work collectively to
strengthen the Dakar region's data and GIS infrastructure.
|
 | Our participatory approach
facilitated a robust discussion regarding the selection of
appropriate indicators thatcan be used in sub-city analysis. We
learned that decision makers in different sectors (e.g., health,
urbanism,education) require context-specific indicators that are
sometimes not consistent with the indicators selected foruse by the
Global Urban Observatory. Decision makers in different sectors
expressed a strong desire to beequipped with advanced training
(skills) in conducting analyses that integrate their conventional
approachesusing indicator data with the appropriate use of GIS in
order to better achieve their sectoral objectives. |
 | The UWM team has developed an
analysis template that allows decision makers to examine large data
sets withmany variables in order to investigate a specific problem.
This analysis template allows a range of users to examine the same
data set to provide relevant information to address different
problems such as to solve dayto-day management decisions, strategic
planning, emergency services delivery, and for developing
policyoptions. The analysis template is discussed in detail in the
section on Project Outcomes. |
 | The research team investigated the
potential benefits and limitations of using ArcIMS to facilitate
urbanindicators analysis in developing countries. Building on ArcIMS'
strengths that lie on the server side, we recommend the following
two uses of the software rather than generalized GIS training. These
views are inconcordance with the vendor's perspective. |
 | Development of active server
pages-based functions that support urban indicator analysis. This
will allowlocal decision makers to analyze datasets with regular web
browsers without any need for sophisticated hard- and software.
|
 | Establishment of a regional spatial
data infrastructure with variable access privileges to a multitude
of datasets, which fosters collaboration among sometimes competing
agencies. |
Project Activities (February 2001 _
February 2002)
Pre-planning Activities
The UWM team began this project with the belief that the building of
strong partnerships with individuals and institutions in Senegal would
be critical to the development of a sustainable research and
development model. UWMand UCAD, Dakar signed an inter-university
partnership agreement in March 2001 that emphasizes long term
collaboration that includes activities such as student and teacher
exchange, technology and skills transfer, and the development of
innovative research projects. The Urban Indicators project was the
first project that evolved within the framework of the
Inter-University partnership agreement building on initial
conversations between Prof. Ajirotutu and Prof. Sock in Summer 2000.
Building Partnerships (February
through May 2001)
 | At the first Urban Indicators
Symposium, Feb 6-7, 2001, held in Washington, D.C, the UWM team gave
an overview of the approach to addressing the goals of the Urban
Indicators project. The UWM team presented a synopsis of planning
issues affecting the City of Dakar and commented on the potential
role that urban indicators analysis using GIS could play in that
context. However, the team noted that a complete needs analysis was
not possible without a site visit and without intensive discussions
with agency representatives and other actors from the nonprofit
sector. Therefore, the UWM team proposed a site visit partially
funded through this project. |
 | The UWM team also played a
proactive role in bringing the activities of the five funded
universities closer together by developing a mini database to
assemble available research literature on urban indicators and GIS.
|
 | The UWM team established electronic
communication with representatives of nongovernmental agencies such
as ENDA (the regional training provider and national observatory
site in Dakar), and our partners at the University. Mr. Alassane Ba
(a lecturer in the Department of Surveying, ESP), working with Mr.
Moussa Kandji (Economic Advisor to the Mayor, City of Dakar)
developed a list of governmental and non-governmental agencies that
could potentially benefit from the GIS training materials developed
from this project. |
 | The UWM team nominated Prof. Sock
(a member of our project team from Dakar) to serve on the
UCGIS/Urban Indicators Project Advisory Board. Prof. Sock attended
the Second Urban Indicators Symposium in Washington D.C on January
7-11th, 2002 in this capacity. |
Site Visit and User Needs
Assessment (June 26 to July 10, 2001)
Dr. Laxmi Ramasubramanian led
the research team that visited Dakar and spent two weeks to conduct a
user needs assessment. The team members first met with the Mayor of
Dakar, Mr. Mamadou Diop. The Mayor discussed several urban problems
affecting the City of Dakar and the entire metropolitan region. The
research team also met with the department heads of various city
agencies including the departments of Urbanism, Works, and Health and
Social Development. The research team conducted individual meetings
with decision makers from state and nongovernmental agencies. In an
informational seminar to representatives from the national government,
the City, several large NGOs and university faculty, the research team
introduced its ideas for sub-city level urban indicator analysis.
During this meeting, the research team displayed U.S examples of how
GIS could be used to conduct participatory research and indicator
analysis at the sub-city level.
GIS Infrastructure at UCAD
Both ESP and UCAD have a modest infrastructure capable of supporting
GIS training. At the time of our visit, the surveying department
(located in a satellite campus in the City of Theis) had dedicated
three computers running Windows 98 for the use of students interested
in acquiring GIS skills. There is a long-term plan to develop and
maintain a complete GIS lab. By participating in this project, ESP
received ArcView 3.2 and ArcIMS, as well as access to six ESRI Virtual
Campus courses. Concerned about sustainability ofof this work beyond
the life of theproject, our partners requested us to pursue the
delivery of software updates.
GIS Infrastructure at Government
Departments
All government officials we visited, in particular the Departments of
Health, Social Development and Urbanism, had personal computers
capable of running GIS software such as ArcView. However, none of
these individuals had access to GIS software. Data Infrastructure
Assessment The National Ministry of Geography and Cartography has a
digital base map of the Dakar metropolitan region with support from
the Japanese International Development Agency. While the database
contains limited attribute information, it is invaluable to begin the
identification of sub-city areas that will ultimately be the focus of
the research. The database consists of land use classifications
derived from a SPOT satellite image. Many of the non-governmental
agencies such as ENDA and CSE have access to different datasets
collected for small studies or surveys. As such, the data
infrastructure is poorly organized and not maintained adequately. For
example, our primary data source for attribute data is from the
National Census (1987), which consists of information about the
population and housing characteristics. Although this information is
dated, it is the most upto- date information that is available to
outside researchers.
Geo-referenced street network files
for the city of Dakar do not exist. Paper maps created for the purpose
of beginning data collection for the 2001 census were purchased from
the National Department of Statistics.
Skills Assessment
The Dakar region has several individuals who are skilled in various
aspects of research and analysis using GIS and urban indicators. Many
of them have received rudimentary training in using GIS through short
courses and seminars. Through this project, we have identified
individuals interested in evaluating and further refining the training
modules being developed through this pilot project. Together this
group represents the university, government and civil society
organizations.
Education and Training
Prof. Jochen Albrecht ran a two-day intensive course that introduced
GIS and the use of ArcView software toseventeen students and an
instructor from the Department of Surveying and Civil Engineering at
ESP. The
students were very enthusiastic to
acquire GIS skills training and were very comfortable in working with
softwareand training material developed in English (although we used
an interpreter to translate the instruction into French).
Development of Training Materials
(August to December 2001)
Philosophy
GIS, in addition to facilitating data analysis at a variety of scales
also facilitates the integration of data from a varietyof sources.
Based on our research on GIS adoption and our experience in the field,
we determined that in order tohave maximum impact, it was necessary
to:
 | Develop a data set that includes
local geography and locally relevant attribute information
|
 | Develop training modules that focus
on problem solving (in this case, how to use urban indicators to
make decisions, e.g., day-to-day management decisions, service
delivery decisions, or policy decisions) |
 | Field test the training modules and
incorporate feedback from users in the final product |
Data Development
The working data set is based on data from the 1987 Census of
Population and Housing. The census data we received held over 800,000
records with data about individual attributes. However, in the absence
of data regarding housing characteristics, the UWM team selected
variables such gender, age, marital status, education level, languages
spoken, residential status, employment status, and ethnicity from the
dataset to display on maps at the sub-city scale. Some of the selected
variables dovetail quite well with the Global Urban Observatory's
description of urban indicators related to Gender Equality. In
addition, these variables can be used to develop proxy measures or
indicators to better understand the nature of informal employment or
migration in the Dakar region.
Base Map Development
At UWM, a digital map of Ouakam neighborhood (called a Commune
d'Arrondissement) was created by digitizing paper maps acquired in
Dakar. The Ouakam neighborhood consists of 35 smaller areal units,
with each areal unit supporting an average population of approximately
1000 people. All our analyses are restricted to this scale.
Project Outcomes
Training Modules and Data Set
Six training modules were developed for this project. Together, they
provide decision makers with tools to examine population data at the
sub city scale. While each module stands alone, the modules are
organized in a sequence of increasing complexity. Each module
introduces the user to GIS and geographic concepts using a problem
solving approach. The data set has been developed for training
purposes exclusively for the purposes of this project. They can be
viewed at
http://www.geog.uwm.edu/UCGIS/labs . Prof. Jochen Albrecht wrote
the training modules with assistance from Dr. Laxmi Ramasubramanian
and graduate students Terry Johnson and Andy Park.
Module 1: Introduction to ArcView
- This is a basic introduction to
functionalities within ArcView 3.2 using data about the African
continent and Senegal
- Status: Completed February 1,
2002
Module 2: Organizing Spatial Data
- Users learn to import GPS data
(X, Y coordinates) and digitize a portion of a map based on a
satellite image.
- Status: Completed February 1,
2002
Module 3: Organizing Attribute
Data
- Users read in attribute data
available originally in the form of spreadsheets or databases.
Users can then edit, reorganize and manipulate the dataset within
ArcView.
- Status: Anticipated Completion
Date, February 15, 2002
Module 4: Simple Queries
- Users perform basic
functionalities available within ArcView such as Querying by
Attribute, Querying by Location, Buffer, and Overlay.
- Status: Anticipated Completion
Date, February 15, 2002
Module 5: Analyzing Geographic
Patterns and Processes
- Users explore the entire training
data set in order to investigate a specific problem by using a
series of filters (successively narrowing search criteria). Since
this module forms an integral portion of the UWM contribution, it
is discussed in further detail.
- Status: Anticipated Completion
Date, February 15, 2002
Goal
To facilitate a simple, easy to use sequence of steps that will
allow an informed user to investigate data available to him or
her. In this situation, the intended audience consists of decision
makers or managers who may be using the same data for different
purposes.
Caveats
Users must be familiar with the specific dataset(s) they are using
and their limitations in order to avoid arriving at spurious
conclusions. This training dataset is not an accurate
representation of the reality of the neighborhood of Ouakam. It
has been constructed for training purposes only.
Procedure
The data is referenced by spatial location. The user, following a
pre-selected sequence of steps, successively narrows down the
search criteria by using pre-defined queries. For instance, they
can:
1. Display in table form a list of
all individual records for residents in a particular geographic
area such as a neighborhood by identifying the neighborhood by
name (in this case, Ouakam). The data can also be displayed on a
map.
2. Within Ouakam, a map showing
the location of all people of Wolof ethnicity can be
displayed at the sub-areal unit (census area unit, approximately
1000 people). Percentages of a particular ethnic group in each
area can be calculated and displayed alongside.
3. Display all individuals with
Wolof ethnicity that are also employed.
4. Display all women who are
Wolof, who are also employed
5. Display concentrations of
women, of ages between 25-44 years, who are Wolof, and are
also employed for each sub-area within Ouakam neighborhood.
Module 6: Display and
Presentation
- In this module, users learn to
display and print maps using the Layout function of ArcView. They
also learn to insert their maps and tables into other programs
such as PowerPoint in order to make presentations.
- Status: Anticipated Completion
Date, February 15, 2002
Presentations and Publications
Dr. Laxmi Ramasubramanian presented a
paper titled Analyzing urban indicators using GIS: Building local
capacity in developing countries through participatory research, which
was included in the Proceedings of the 7th International
Conference on Computers in Urban
Planning and Urban Management (CUPUM), July 18th_21st, 2001, at
the University ofHawaii at Manoa, Honolulu, Hawaii. A modified version
of the paper is currently under review for a special issue of
Computers, Environment and Urban Systems.
Prof. Jochen Albrecht presented a
paper titled Autocorrelation-proof Empirical Bayes Mapping for Urban
Indicator
Analysis, which was included in the
Proceedings of the 7th International Conference on Computers in Urban
Planning and Urban Management (CUPUM), July 18th_21st, 2001, at
the University of Hawaii at Manoa, Honolulu, Hawaii.
Prof. Bill Huxhold participated in a
special session of a United Nations Habitat conference.
Prof. Bill Huxhold presented
preliminary findings from this project at a special session at the
Urban and Regional Information Systems Association (URISA) conference
held in Long Beach, California.

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