Transformation of Census Cartography from a conventional paper map system to an integrated Geographical Information Technology based system in African Countries – A private sector perspective with specific reference to Namibia


5. Case study: 2001 Census Cartographic Project in Namibia

5.1 Background
The Republic of Namibia is one of the youngest democracies in the world. After about thirty years of civil war, the country gained independence from South Africa in 1989. Namibia is situated in south-western Africa and is bordered by South Africa in the south, Botswana and Zimbabwe in the east, Zambia and Angola in the north and the Atlantic Ocean in the west. The country has a population of 1,83 million and a land area of about 1million square kilometres.

Namibia relies heavily on the economy of South Africa. The biggest industries are diamonds, fisheries, cattle and tourism. The biggest tourist attractions include the Namib desert and the Etosha national park where the big five can be seen in a well maintained natural environment. The far northern part of the country, where more than 50% of the population of the country resides, provides the tourist with a very interesting view on the traditional way of life in Namibia.

The first population and housing census after the country came into being, was conducted in 1991. The second census was conducted last year (2001).

During 1999, the Central Bureau of Statistics (CBS) at the National Planning Commission (NPC) – the government institution ultimately responsible for the census in Namibia – started with the cartographic work for the 2001 census. It was decided that the 2001 census should be planned and published with the aid of GIT.

5.2 Project overview
The main aim of the 2001 Census Cartographic Project in Namibia was to systematically sub-divide the entire country into EAs and to produce a set of maps to be used during the enumeration phase of the project. The traditional approach for this task was to use a combination of available hard copy maps and sketch maps. The entire system was, as a result of this approach, manual. In 1999 the NPC decided to depart from the traditional approach to census cartographic work and to utilise a GIT-based approach for this important task. Due to limited in-house capacity, Devinso (one of the companies in the GeoSpace International group of companies) was awarded a contract to develop a GIT driven census demarcation methodology and to assist with the implementation and management of the project as a whole. The initial contract was awarded in November 1999 and project duration was just under two years.

The project was divided into the following distinct phases or activities:
  • Establishment of the GIS infrastructure
  • Establishment of a data warehouse
  • Evaluation of base map data
  • Collection of additional base map data
  • EA demarcation and NAMPLAN data collection
  • Map production
  • Project closure
5.2.1. Establishment of the GIS infrastructure
At the time when the project started (November 1999) no GIS infrastructure existed and very little GIS capacity was available at the NPC. A study was consequently done to determine the existence and availability of spatial data for Namibia. Furthermore, a functional specification based on the unique requirements of the census, was drawn up. Based on the specification, the system (hardware, software and network) was installed in January 2000.

5.2.2. Establishment of a data warehouse
Once the system was in place, all the relevant data from the official suppliers of spatial data in Namibia was obtained, converted where required, and incorporated in a spatial data warehouse.

5.2.3. Evaluation of base map data
A set of criteria was determined for the census maps in each broad settlement type in Namibia. The data in the system was evaluated against the agreed criteria. The result of this exercise revealed areas in the country where the available base map data did not meet the agreed specifications.

5.2.4. Collection of additional base map data
Where the available mapping data did not meet the agreed requirements, additional base map data was collected, mainly through three methods: a mapping program; digital aerial photography and enhancement of available maps.

Mapping
Roughly 50% of the total population of Namibia resides in the north of the country in two predominantly rural areas with a total of 4,5 million hectares, representing only 4,5% of the total land area of the country. The settlement pattern in those areas is of such a nature that 1:50 000 topographical maps are best suited for census purposes. The available 1:50 000 maps for this part of the country are, however, 30 years and older. This made them virtually useless given the significant changes in size and distribution of the population over the last 30 years. Due to the fact that up to date small-scale (1:80 000) aerial photography was available, it was decided to map the most relevant features such as roads, hydrology, homestead boundaries and housing units. The vector data from the mapping program was superimposed over the raster image 1:50 000 topographical data to provide what is in essence an updated 1:50 000 map with enough detail for census cartographic purposes.

Digital aerial photography
As a result of the evaluation of existing data, roughly 100 urban areas or larger rural settlements were identified for the digital aerial survey program. GeoSpace International’s sophisticated digital aerial photography system was used for this purpose. The photography mainly covered relatively dense urban or urban type settlements for which no vector data (town maps) existed. Ortho photomaps at a scale of between 1:10 000 and 1:2 500 – depending on the requirements – were generated from the images.

Enhancement of available maps
Evaluation of existing base map data furthermore revealed that for some urban areas maps would exist but, for example, without any street names or suburb boundaries. A dedicated team of fieldworkers visited these urban areas and either acquired additional data from the relevant local authority or collected the outstanding data in the field.

5.2.5. EA demarcation and NAMPLAN data collection
After the establishment of a fairly detailed base map for the entire country, the actual sub-dividing of the country into EAs could begin. This was done through a combination of office- and fieldwork. The outer boundary of each populated area, referred to as a locality, was determined and annotated on the GIS generated fieldwork maps. GPS coordinates were taken to check that the data collected for a given locality was eventually linked to the right polygon (locality) in the spatial data base. During the fieldwork phase, the position of every institution in the country was also recorded. This was necessary since institutions require special enumeration procedures. At the same time a core set of attribute data on the services available to each locality and institution was also captured. Institutions included were medical, educational, police, prisons, government buildings, accommodation and community centres.

Data on the following services was captured: water, sanitation, telecommunication, electricity and accessibility. The data on services available to localities and institutions in Namibia, is known as the NAMPLAN data base. Localities were then, depending on the settlement type, grouped together or sub-divided to form Census Enumeration Areas (EAs). In general an EA consisted of 80-120 households. The data collected during demarcation fieldwork was captured in the system through a combination of methods. The spatial data was digitised (heads-up) from the field maps. The attribute data and NAMPLAN data was captured through manual entry as well as through a process where data from data loggers was downloaded directly into the data base. All the data recorded with GPS receivers was downloaded directly into the data base and thereby virtually eliminating data entry errors. Once all the data for a given region was captured, the data was evaluated and upgraded through an iterative process by means of the production of series of maps that were scrutinised and corrected (where necessary) by the census cartographic team. The end product was a detailed data base that was thoroughly verified and eventually signed off by the cartographic team at the Central Bureau of Statistics.

5.2.6. Map production
Once the data base was populated and signed off, the base map data together with the census specific data were used to create a set of about 5 150 unique maps for the enumeration phase of the census. These maps were generated from the data base using a specially developed map plotting application. The map creation and the printing of 4 copies of each map were done over a period of roughly four weeks at the end of the pre-enumeration cartographic project. The project was a resounding success. It consequently provided what is arguable the most detailed and accurate mapping data ever available for a population census project in Africa.

The map and map related queries received from the field during the enumeration phase of the census were negligible compared to what is usually experienced in countries where the traditional approach to census cartography is followed. Analysis of the Post Enumeration Survey (PES) conducted shortly after the main census in August last year, revealed an estimated undercount of 2,2% for the census. This is, as far as could be established, the lowest undercount rate ever achieved in a census in an African country. Since a census undertaking consists of many interrelated sub-projects, it can be stated that high quality maps alone cannot guarantee a successful census. However, a successful census is impossible in the absence of high quality maps. It can therefore be argued that the superior maps produced for the 2001 census in Namibia by using GIT driven solutions, established the platform for the overall success of the census as a whole.

5.2.7. Project closure
The entire project was documented and officially handed over to the National Planning Commission. The final deliverable of the project was the Project Closure Report.

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