UNIQUE GEOSPATIAL DATA & SERVICES TO MEET CUSTOMER NEEDS
Geospatial Data For South Africa & Africa
Specialist Geospatial Data Services
Retail & Service Network Optimization
Motor Dealership Geospatial Services
Using innovative approaches to provide geospatial services and products for use in strategic decision making
Database Development
Development of proprietary and client specific geospatial data using web scrapping, geocoding and machine learning
Map Production
Production of fieldwork and cartographic maps. Use of Point Thematic Maps to represent research survey results
Analysis
Analysis of vector and raster data using the full suite of geospatial methods.
Fieldwork Tracking
Accurate real-time tracking of fieldwork teams. Detailed reports on fieldwork activities. Geo-fencing & geo-points ensure sampled areas & homesteads are reached.
Retail & Government Service Network Optimization
Using accessibility modelling with Greenfield & Brownfield approaches to implement expansion, relocation or reduction strategies
Data Dissemination
We work with clients to provide them with access to geospatial data and analysis through various mediums including web mapping tools.
Specialist Geospatial Data Services
Mapping Social Survey Results
Understanding Socio-Economic Trends in South Africa’s Township Using KasiSurvey & Circle Point Analysis
South Africa’s townships are evolving into important potential markets for economic development in South Africa but continue to endure socio-economic challenges.
GeoScope’s innovative tools, KasiSurveys and Circle Point Analysis provide invaluable insights into township dynamics, allowing for informed decision-making and the targeting of key interventions.
Analysis of Statistics South Africa’s 2022 General Household Survey data, KasiGHS as part of KasiSurveys and Circle Point Analysis, allows for the first time comparisons of socio-economic factors between townships and non-township areas.
Comparisons of socio-economic factors include education, health status and access to medical schemes, use of smartphones, differences in income and levels of employment and travel times to work between township and non-township areas.
Household survey data includes data on household services, available telecommunications, use of different transport modes, access to public services, hunger, agricultural production, household income and wealth status
These analyses highlight the importance of leveraging innovative methods to provide data-driven insights for sustainable growth and to address the diverse needs of township residents.
Specialist Geospatial Data Services
Mapping Social Survey Results
Circle Point Analysis
Circle Point Analysis (CPA) is a qualitative method for rapidly mapping social survey results so that any discerning patterns can be identified. The points represent randomly selected survey respondents while the centre of the point circle is where the interviews were conducted. The colours of the points represent responses to questions in the survey. The above map shows the distribution of households with different Living Standard Measures (LSM) in the Cape Peninsula of South Africa.
Small Area Estimation
Small area estimation uses statistical and machine learning methods to model and map social surveys results at small geographic levels. It is a quantitative method that allows survey results to be accurately mapped. AfricaScope uses these methods to model nationally representative surveys and map aspects such as LSMs, income, unemployment and consumer data.
Retail & Service Location Optimization
Network Based Accessibility Modelling using a Diversity of Approaches to Identify Opportunities for Sustainable Expansion
AfricaScope is a LEADER in optimizing retail & service location networks. Using accessibility modelling and INNOVATIVE approaches lets us determine if a service or retail network needs to be expanded, reduced or rationalized. With access to UNIQUE demand, supply and consumer data we are ideally situated to help companies to optimize their retail networks.
Network Based Accessibility Modelling
This is the only approach that can optimally expand, relocate or reduce retail or service networks to ensure their financial viability. This is NOT a site feasibility or gap analysis – this a network based accessibility study that considers levels of demand and supply across a transport network to ensure the entire retail or service network is optimized.
Defining The Target Market
Information on the target market or population needs to be developed specifically for different retail sectors or service types. It must be provided at the most detailed spatial level. Information on different population characteristics, individual & household income, consumer purchasing behaviour as well as expenditure in retail sectors are key datasets.
Diversity Of Approaches & Accessibility Models
Greenfield and Brownfield approaches assist in deciding if the retail or service network should be expanded, reduced or relocated. Models are run that consider capacity in the target market or population, travel time/distance, existing service points and preferred sites in optimally locating retail or service points. Network based catchment areas are generated to allow further profiling of the area uniquely allocated to retail or service sites.
Trade Area Analysis
AfricaScope has innovated the use of Trade Area Analysis to define average travel times of customers and their travel elasticity. Determining the financial viability and capacity of outlets and outlets is key to understanding their optimum location and sustainability. AfricaScope undertakes accessibility studies in the public & private sectors.
Motor Dealership Geospatial Services
- Mapping existing dealer and competitor networks and each dealers’ Areas of Responsibility
- Geospatial Data developing and accessing unique GeoSpatial data for the motor Industry in SA and Africa
- Trade Area Analysis using dealer customer data to define primary and secondary trade areas and average customer travel times
- Dealer Network Optimization using defined target market, existing dealer networks, market share and preferred sites to expand, rationalize or relocate the dealer network
- Vehicle Sales Targets are set using financial (e.g. sales volumes or turnover) and target market data for each dealers’ area of responsibility