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David B. Davis

Department of Geography

University of Utah

Salt Lake City, UT 84112 USA

carpincho@att.net

 

 

Implementing GIS in Developing Countries:

A Case Study in Uruguay

 

 

Abstract:  This research was done to determine the feasibility of creating a fully functional GIS in a developing country of the world using inexpensive hardware and software with readily available data.  Although this study involved a city in Latin America the methods used should work well in almost any other developing country of the world.

     IDRISI and ArcView software packages were used because of their availability in various languages, price discounts for research, experience throughout the world, and ease of use.  The majority of the data was obtained from Uruguayan military mapping and imagery agencies.

     All of the data was written to a CD-ROM for ease of use and distribution.  This data was presented to various civic and government organizations in the city of Sarandi del Yi in 1999.  A public planning committee is currently using the data.  The city government and the water department are planning to begin using the data this year.

 

 

INTRODUCTION

    

     The improving economic and political conditions throughout much of the world, most notably in Asia and Latin America are resulting in a more dynamic global population.  People are able to move from place to place more easily than ever before in search of education, employment, and improved living conditions and opportunities.  This movement or migration can be from country to country but more often is from city to city or from one part of a city to another.

     All of this movement of people in and out as well as within cities has placed great demands on all levels of government.  Trying to keep track of the population and their vital records is only part of the difficulty.  The myriad changes to the infrastructure and the environment associated with the movement of people or totally new settlements have been almost impossible to monitor and update. 

     Traditionally this monitoring and record keeping has been done using paper maps, paper records and other filing systems, aerial photography, and field mapping.  These static record keeping and data systems become outdated and inaccurate almost immediately.  These difficulties and challenges are basically the same whether dealing with a small city in Uruguay or the largest of cities such as Mexico City.  Even if a city has the resources to obtain new data such as aerial photography on a regular basis they often times do not have the manpower or technical skills needed to integrate this data into their records. 

     During the past decade new and improving technologies and methodologies have made most or even all of this monitoring or record keeping much more feasible.  Government and now private company remote sensing data, high capacity yet lower cost computers, easier and more powerful software, GPS, and the Internet are all helping to make this possible.  Much of this data is available on a consistent, real time basis.  Because it is often in digital form it can be immediately integrated into a computer system.  With increasing demands and tightening budgets governments are almost obligated to investigate and implement as much of these new technologies and systems as possible.

     This project was an attempt to show that the new and improved data and technologies available today have made it possible for city governments in developing countries to keep up with population and infrastructure dynamics.  The city of Sarandi del Yi, Uruguay was used as a case study or model of how this can be done.

 

RESEARCH DESIGN

 

     This research was done to determine a process, not the process for GIS implementation in developing countries.  Many of the steps and procedures are similar to those involved in setting up a GIS in the USA although several modifications were needed.  Differences in culture, technical abilities, governments, language, and training all needed to be incorporated into the overall process.

     The processes used in this research project can be divided into three distinct phases: determining the current capabilities and data, determining the needs for implementation, and the actual implementation.  When determining the capabilities and data currently available to the city government such things as quantity and type of computer equipment, maps, and technical skills of the employees were evaluated.  Five items were looked into regarding what would be needed for GIS implementation.  The first was cooperation among the various government agencies and utilities in the city, something that is usually easier said than done.  The second item was what computer equipment would be needed now and what could wait until later in the process.  The third item was closely associated with the second, being what software would do what was needed and still be affordable.  Data was the fourth item to be investigated.  The city had paper maps that were drawn to scale but were not georeferenced.  A georeferenced map of the city was available from the Uruguayan Military Geographic Service and aerial photography from the Uruguayan Air Force remote sensing division.  The last item to be evaluated was determining what training was needed, who would receive the training, and who would provide the training.  None of the city government employees have a university level education. 

    

 

 

CREATION OF THE RASTER DATA

 

     As was mentioned earlier, data was available from the city as well as from Uruguayan military sources.  Maps and aerial photography was obtained on a trip to Uruguay in 1994, as well as through in-laws that sent newer maps and aerial photography in 1997.  The following maps were obtained for use in this project:   1:50000-scale topographic map, 1:10000-scale city street map, 1:20000-scale soils map, sewer map, and water lines map.  The street map also displayed the ID number for each of the city blocks.  Black and white aerial photography was obtained at two different scales and time periods.  The oldest photography is at a scale of 1:20000 and was flown in 1967.  The newer photography was from 1994 and is at a scale of 1:10000.

     All of the maps and aerial photography was scanned at 400 dpi and 256 shades of gray.  This dpi was used to achieve a good viewing resolution while at the same time manageable file sizes.  Each of the 9” by 9” photographs were approximately 17 MB in size.  The scanned topographic map had a much larger file size of nearly 62 MB.  Since this map was much larger than the city boundaries a subset of the scanned map was “cut out” digitally.  This resulted in a map of the city area with a much smaller file size of only 19 MB. 

     After evaluating many different GIS and/or image processing packages IDRISI was chosen as the best system for this project for the price.  The capabilities of IDRISI for GIS and image processing were as good or better than any of the other systems.  None of the other organizations had the experience in developing countries like the makers of IDRISI (Clark University, Worcester, MA) and none could even come close in price.

     In October of 1995 IDRISI version I for windows was purchased at the student discount price of $247.50, a 75 percent discount.  The IDRISI version II upgrade was purchased and installed in March of 1998.  The Spanish language module of IDRISI was installed in April of 1998.  The software can now be used in either English or Spanish with a simple menu selection.  Language modules for IDRISI are available at no cost for several different languages.  Currently modules are available for Spanish, Chinese, French, Portuguese, and Russian.

     With the data and software in the computer the GIS layers could now be started on.  Histogram equalization was performed on the aerial photography to lighten the images.  This made everything easier to identify and more pleasing to the viewer.  The next step was one of the most important goals of the project, to georeference all of the raster and vector layers.  Because the maps the city agencies were using were not georeferenced a means for obtaining control points needed to be found.  Various sources for control were evaluated.  These included Landsat and SPOT imagery, GPS, and other georeferenced maps.  Since one of the main goals of this research was to try to use inexpensive and easily obtainable data the only viable option was to use the 1:50000-scale topographic map obtained earlier.  This map has the UTM grid clearly marked and numbered.

 

 

 

     The IDRISI software makes it very simple to georeference or digitally rectify maps or imagery.  This process was first done on the scanned topographic map.  The x, y coordinates on the map were replaced with the UTM coordinates.  This was done by placing the cursor on the UTM intersection lines on the screen and entering these values into a table.  The UTM values for these same intersections were noted from the map and also placed into the table.  With these values the software was able to georeference the scanned map.  To digitally rectify the aerial photography a similar process was used.  By displaying the georeferenced map and an aerial photograph side by side on the screen control points were easily selected.  By placing the cursor on a road intersection or other feature that could be seen on both the map and photograph the x, y and UTM values could be determined.  As many as 46 control points were selected for each photograph.  These images could then be viewed in IDRISI.  All of the maps and imagery were also exported as TIFF images with an accompanying TIFF World file.  This enables the images to be viewed in practically any GIS or image processing software.

     The image below shows a portion of the base map with an overlay of two of the digitally rectified aerial photographs.  As can be seen in Figure 1 the roads, hydrology, and other features visible on the photography line up quite well with the underlying map.  All of the layers, both vector and raster were referenced to the map, not to the aerial photography.            

             

 

 


 

 


                     Figure 1.  Rectified Aerial Photography with Base Map.

 

CREATION OF THE VECTOR DATA

 

     The ability to digitize on screen was preferred to doing so on a digitizing table.  The   emphasis of this project was to do everything possible with the data and equipment on hand.  On screen digitizing would eliminate the need for a digitizing table.  Not only for this portion of the project but also for the city should they make updates or create new data layers in the future.  Although the IDRISI software does have the ability to do on screen digitizing it is quite limited.  Research was done to determine if relatively inexpensive software with better on screen digitizing capabilities could be found.

     ArcView GIS version 3.1 was evaluated first because of previous experience with this software.  Also a 30-day evaluation copy of the program was available for testing.  After successfully digitizing and attributing a railroad line and several roads it was decided to contact ESRI for further information about purchasing this product.  ESRI offers a substantial discount on the purchase of their products to university students and faculty when used for educational research.  The regular price for ArcView GIS 3.1 is $1,195 where as the educational discount lowers the price to a much more accessible $250.   The following layers of information were digitized and attributed: - water lines   - sewer lines   - streets   - rivers   - flood zones   - city block numbers- utilities   - city parks   - government buildings   - various (banks, clubs, businesses)   - schools   - churches   - train track   - route 6   - route 14.

     The digitizing process was quite straightforward but very time consuming due to the slow processing speed of the 486-66 computer on which this entire project was done.  However by using an old computer it was shown that the latest and greatest equipment is not necessary for creating a functional GIS. 

     To digitize the various point, line, and polygon layers the 1:50,000-scale base map was displayed in ArcView and used as a foundation.  The view properties in ArcView were set so that the base map would be displayed in its proper scale and projection.  The view property settings were: map units (meters), distance units (meters), and projection (UTM-1983-Zone-21).  This base map was then zoomed in to a scale of 1:10,000.  All of the layers were digitized with the base map at 1:10,000-scale.  The base map was exactly that, a base on which to digitize the features such as roads or rivers.

     Inspection of the different vector layers was performed.  This was done by displaying the georeferenced aerial photography on screen and over laying the vector layers on top of this.  Several buildings had been digitized in the wrong location and had to be redigitized.  The ability to overlay the vector layers on the base map and especially on the aerial photography makes it much easier to understand and visualize the vector data. 

      Vector data displayed without a raster background can look like just a bunch of different colored lines running in all directions, especially to the untrained observer.  However with a background such as a topographic map or especially an aerial photograph the person can actually see the locations and features represented by the vector data.  Each of the vector layers also has an accompanying attribute table making it possible to easily identify each feature.

     The attribute tables can be viewed not only in ArcView but also in spreadsheet and database software like Excel or Access as well as in Windows notepad.  Each one of the attribute tables was exported in such a way as to be able to view them in any of these commonly available software programs.  This will enable the data to be easily incorporated into an existing or future database for any or all of the government agencies or utilities in the city.  Another important feature of having the data available in a standard format is that no specialized software is needed.  A standard office software package such as Microsoft Office or Corel WordPerfect Suite is all that is needed for viewing and using these attribute tables.

     All of the point, line, and polygon vector data were saved as shape files.  This standardized format makes it possible to open the data using many different software packages.  These shape files were also imported into IDRISI for use in this project.  All of the raster and vector data layers have been successfully displayed and evaluated in: ArcView, ArcExplorer (Spanish and English), IDRISI (Spanish and English), and MapSheets Express.  ArcExplorer and MapSheets Express are both available at no cost and can be downloaded over the Internet from ESRI and ERDAS.  Other no cost viewing software is available such as Geomedia Viewer and ER Viewer.  Free GIS viewing software with these capabilities was unheard of five years ago when this project began. 

     In this project the vector data has been stored as shape files, the raster data in TIFF with accompanying TIFF world files, and the attribute data and metadata stored in Word, Excel, or Access formats.  With all of the data in these standard formats everything associated with this project can be viewed in free or standard office software.  Both ArcExplorer from ESRI and MapSheets Express from ERDAS can display the raster and vector data with out needing to convert the data to a different format.  They can also show scale and UTM coordinates, allow multiple overlay scenarios, and produce high quality, useful maps.  The map in Figure 2 was created using MapSheets Express and saved  in HTML file format.

     Metadata for each of the raster and vector files was created.  Each file has the information list in both English and Spanish.  Other data related to the project was also collected.  This included Uruguayan census data for 1963, 1975, and 1985, charts comparing the MERCOSUR countries, and scanned photographs of various buildings in the city.

     All of the imagery, vector layers, attribute data, and other miscellaneous data was copied to a CD-ROM.  This enables stable storage of the data on a universally compatible medium. 

 

CONCLUSION

 

     In October-November of 1999 the data was presented to numerous government and civic leaders throughout the city of Sarandi del Yi.  Because of recent elections the city government is in a state of transition.  The new leaders are very interested in using this data to modernize and improve government processes and services.  As stated earlier this research was done to show that a fully functional GIS could be created using readily available data and inexpensive software and equipment.  It proved successful in Uruguay and should work in any other developing country.


                 

 

 


                           Figure 2.  Example map made using MapSheets Express.

 

 

 

Authors Note:  This paper is a summary of the Technical Report and project for a Master’s Degree in Geography from the University of Utah.

 

REFERENCES

 

Borley, Simon F. H., “A Review of the Literature on the use of Geographical Information Systems in Developing Countries”, University of Sheffield, Department of Information Studies, Occasional Publications, Series No. 15, (1991), pp. 55-58.

 

    

Cartwright, John C., “Explore GIS with UNITAR Workbook Series”, GIS World, Vol. 8, No.7, (1995), pp. 70-71.

 

Corbley, Kevin P., “Chicago Uses Innovative Methods to Build Enterprise-Wide Urban GIS”, Earth Observation Magazine, Vol. 4, No. 7, (1995), pp.23-25.

 

Gold, Stephen, “UNITAR Promotes GIS Training Programs Worldwide”, GIS World, Vol. 6, No. 4, (1993), pp.56-59.

 

Gorham, Bruce E., “Quick-Take Reviews, Idrisi for Windows 2.0”, GIS World, Vol. 11, No. 2, (1998), pp.73-74.

 

Kollin, Cheryl, “Growth Surge: Nationwide Survey Reveals GIS Soaring in Local Governments”, Geo Info Systems, Vol. 8, No. 2, (1998), pp. 24-30.

 

Levy, Roberto Camhi, “Arquitectura GIS”, geoinformacion, Vol. 1, No. 2, (1998), pp. 28-30.

 

Schweitzer, Peter N., “Easy as ABC – Putting Metadata in Plain Language”, GIS World, Vol. 11, No. 9, (1998), pp. 56-59.

 

Stevens, David, “GIS as Social Practice: Considerations for a Developing Country”, GIS/LIS ’96 Annual Conference and Exposition Proceedings, (1996), pp. 707-721.

 

“Uruguay, Llave de un Mercado de 200 Millones de Personas”, EL PAIS Edicion Digital, Year 1, No. 188, (1996), www.diarioelpais.com.uy.

 

ACKNOWLEDGEMENTS

 

The author would like to thank Professors’ Merrill Ridd, Chung-Myun Lee, and Eugene Carr at the University of Utah for their wonderful guidance through this endeavor.  Thanks also to Elena Kambitsi for helping me get this project on the right path.  Special thanks to the many people in Sarandi del Yi that are trying to move things forward.  To my supervisors at APFO thank you for allowing a flexible work schedule.  Thanks to ESRI and the IDRISI Project for the software discounts.  Thanks most of all to my wife for staying by my side throughout all of this.  

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