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GIS data acquisition and GIS data projects

  1. GIS data

The following GIS data listed below were purchased for use in various GCRO projects :

    • Afrigis: Bizcount geocoded business layer, gated communities and suburbs
    • GeoTerraImage (GTI): 2009 provincial land cover, urban land cover (2.5m resolution), growth indicator (2001 – 2009), and land use (2001-2009)
    • GeoTerraImage (GTI): Growth Indicator – land use per building (62 sub classes, providing a full classification of land use activities across the urban areas in Gauteng
    • GeoTerraImage (GTI): Growth Indicator – development initiatives. A spatial dataset illustrating submitted, refused and approved applications and potential future growth such as rezoning of existing cadastre and township developments on farm portions and agricultural holdings
    • GeoTerraImage (GTI): Growth Indicator – demography. Based on the 2001 official StatsSA census, demographic statistics (gender, age, race and total population) are associated with each residential dwelling point (2001) to provide a fine scale analysis of the demographic situation. An indication of the 2010 demographic dynamics and population update is provided by AfricaScope (Mr Craig Schwabe) through demographic analysis and forecasting
    • DemProKey X from Lightstone: Census 2001 and updated 2010 income and demographics per EA (Enumerator Area from Census 2001) and 2011 ward boundaries
    • Deeds transfers and property valuation per EA from Lightstone: average Deeds transfers per EA as well as number of properties/transactions in various price bands from 1993-2010, and average valuation per EA based on Lightstone’s Automated Valuation Model (AVM) per EA from 2007-2010. 

 As part of the licencing agreement GCRO negotiated with the data providers, these datasets are also available for use by both Wits/UJ students and lecturers, and can be viewed in the Economic and Spatial Structure themes in the GCRO GIS website, accessible via the Interactive GIS page.

Other key datasets include:

  • GCRO 2009 Quality of Life survey
  • StatsSA: Census 2001 and Community Survey 2007 datasets
  • Satellite imagery including: SPOT and Quickbird Satellite imagery from the CSIR Satellite Applications Centre and Landsat imagery from 1989/91, 2000/01 and 2009
  • Municipal Demarcation Board: Administrative boundaries (wards, local municipalities, etc.) and base data (such as main roads, railways etc.)
  • GPG Department of Economic Development: Development Planning  - all the Gauteng provincial GIS datasets
  • GPG Department of Roads and Transport: GPG base transportation data sets
  • Department of Human Settlements – investment potential atlas, community protest atlas
  • Eskom Spot Building Count (SBC) and dense infromal polygons: a point per building digitised from SPOT imagery (2010 version)
     
  1. GIS Projects

GCRO is working with Brian Mubiwa from University of Johannesburg on an urban growth mapping project. Mubiwa is currently working on his doctoral thesis titled: Impact of Transport Corridors on Urban Development and Transport Energy in the Gauteng Global City Region. Analysis outputs for the thesis will include a mapping of the GCR urban landscape over the past 20 years. GCRO assisted Mubiwa with obtaining Landsat satellite imagery for 1989/1991 and 2000/2001 and 2009.

 

Project reports

Developing a tool to select priority wards in Gauteng
Chris Wray and Maryna Storie
October, 2012
Published works
Developing a tool to select priority wards in Gauteng

Government efforts to focus public funding expenditure and improve community livelihoods and service provision are often fraught with difficulties. A key challenge is how to spatially target expenditure where it is needed most. The information required to make robust and defensible decisions on which areas should be prioritised over others is frequently not available. In support of the Gauteng Provincial Government’s aim to prioritise areas for development interventions or service delivery upgrading, the Gauteng City-Region Observatory investigated a method of identifying wards where development priorities should be focussed. The analysis was based on a range of indicators, with the goal being to move away from mainly income-based indicators towards indicators that provide a more holistic view of the development needs of each area. The paper describes the process that was followed to generate the indicators, presents the sources of data utilised as well as the geospatial analysis tools that were applied, and describes the subsequent development of an indicative mapping and decision support tool. The tool provides users with the option to manipulate the weighting of indicators and generate associated maps of the priority wards within Gauteng province, depicting their selected indicators. The results are hosted on the GCRO interactive GIS website and are freely available for anyone to use.

Download this output from: www.eepublishers.co.za/article/developing-a-tool-to-select-priority-wards-in-gauteng.html
Enabling g-government in the Gauteng City-Region in African Journal of Information and Communication (Issue 12, 2012)
Chris Wray and Rex van Olst
July, 2012
Published works
Enabling g-government in the Gauteng City-Region in African Journal of Information and Communication (Issue 12, 2012)

The  term  g-government,  a  subset  of  e-government,  was  first  introduced  in  2000  as  the convergence  of  geographical information systems (GIS) and the Internet to create more effective government interaction with citizens. More recently, it has been  revised to describe the combination  of GIS and  Web 2.0  technologies  that  can enhance  government  services and delivery. Most government data is spatially based and can be visualised and interpreted using a Web GIS mapping application, but this data is often not available to other government departments,  or the general public, frustratingly so.

In  South  Africa,  problems  with  accessing  spatial  data  continue  to  exist.  The Gauteng City-Region Observatory (GCRO) recognised that g-government remains a challenge within the Gauteng city-region (GCR), and in 2010 developed a GIS website for the GCRO and  Gauteng  Provincial Government.  This article is presented  in the context of the global  shift to fully connected governments through technologies such as Government 2.0  and g-government.  It provides a specific focus on the GCRO GIS website and how it enables g-government by providing local and provincial government with the spatial data  and tools required to better understand  the city-region, and to make informed decisions about future development in the city-region. The article also reviews Technology Acceptance Model (TAM) scores measured at the launch of the website. Finally, monthly website  visits are examined.  This confirms that  local and  provincial  government  are ready  to utilise the g-government website.
Download this output from: Enabling g-government in the Gauteng City-Region