- A-Z Publications
- South African Geographical Journal = Suid-Afrikaanse Geografiese Tydskrif
- Issue Home
South African Geographical Journal = Suid-Afrikaanse Geografiese Tydskrif - latest Issue
Volume 99, Issue 1, 2017
Author E.R. JenkinsSource: South African Geographical Journal = Suid-Afrikaanse Geografiese Tydskrif 99, pp 1 –13 (2017) http://dx.doi.org/http://dx.doi.org/10.1080/03736245.2015.1052844More Less
The South African Geographical Names Council has compiled an unpublished list of all the geographical names registered between 2000 and 2014. This article analyses the number of names registered each year and breaks it down into changes of spelling, changes of name and registration of names not previously registered. The total number of names is compared with those in two previous periods, 1977-1988 and 1989-1999. Half the names were first registrations, 30% were changes of spelling and 20% were changes of name. This is a lower proportion of changes than might have been expected in the light of calls for transformation in geographical naming. The totals for the period are also broken down according to provinces. Patterns in the creation of new post office outlets since 1989 are discussed. A high proportion of all the names were from African languages, constituting a large increase compared to the periods 1977-1988 and 1989-1999. The conclusion that is reached is that while there has been a significant increase in names from African languages,the registration of new names and changing of names have been moderate.
Landsat satellite derived environmental metric for mapping mosquitoes breeding habitats in the Nkomazi municipality, Mpumalanga Province, South AfricaSource: South African Geographical Journal = Suid-Afrikaanse Geografiese Tydskrif 99, pp 14 –28 (2017) http://dx.doi.org/http://dx.doi.org/10.1080/03736245.2015.1117012More Less
The advancement, availability and high level of accuracy of satellite data provide a unique opportunity to conduct environmental and epidemiological studies using remotely sensed measurements. In this study, information derived from remote sensing data is used to determine breeding habitats for Anopheles arabiensis which is the prevalent mosquito species over Nkomazi municipality. In particular, we have utilized the normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) coupled with land surface temperature (LST) derived from Landsat 5 TM satellite data. NDVI, NDWI and LST are considered as key environmental factors that influence the mosquito habitation. The breeding habitat was derived using multi-criteria evaluation (MCE) within ArcGIS using the derived environmental metric with appropriate weight assigned to them. Additionally, notified malaria cases were analysed and spatial data layers of water bodies, including rivers and dams, were buffered to further illustrate areas at risk of malaria. The output map from the MCE was then classified into three classes which are low, medium and high areas. The resulting malaria risk map depicts that areas of Komatieport, Malelane, Madadeni and Tonga of the district are subjected to high malaria incidence. The time series analysis of environmental metrics and malaria cases can help to provide an adequate mechanism for monitoring, control and early warning for malaria incidence.
Source: South African Geographical Journal = Suid-Afrikaanse Geografiese Tydskrif 99, pp 29 –51 (2017) http://dx.doi.org/http://dx.doi.org/10.1080/03736245.2015.1117014More Less
Land use policies have a definite and lasting impact on the way that cities grow; however, it is difficult for policy- and decision-makers to observe and quantify the implications of their land use policies and strategies. There is thus a need for information and tools that can adequately support policy debates and influence decision-making through scientific evidence. Land use change models provide such a tool and have often been applied and tested in developed countries but lack the ability to simulate many of the multifaceted social problems observed in developing countries. Some more advanced models also require large amounts of data that are normally not available for South African cities. In this research, we adjust the existing Dyna-CLUE model to accommodate the unique multifaceted problems such as informal settlements, backyard shacks, rapid population growth and government interventions with regard to social housing projects and test the model for the city of Johannesburg. Two scenarios (AS-IS and Policy-Led) in combination with an urban development boundary (UDB) were tested and their effect was evaluated based on their influences on the cities spatial inequality, densification of the urban spatial pattern and increase in access to public transport. Results indicated that the Policy-Led scenario can improve the wealth and economic distributions between the north and south of the city. It can also provide more economic opportunities for the households living in the south of the city. Enforcing an UDB has a positive impact on urban sprawl and will result in increased densities across the city. The effect of the policies on the commuter distances indicated that both scenarios will lead to an overall increase in the number of households that have access to public transport, but the Policy-Led scenario will allow a greater number of low-income earners to have access to the public transport systems. We see great possibilities for using the existing model to simulate land use change in South African cities. The model requires less input data compared to some other modelling techniques and with small adjustments and adaptations can prove to be a useful tool for urban planners.
Determination of urban land-cover types and their implication on thermal characteristics in three South African coastal metropolitans using remotely sensed dataSource: South African Geographical Journal = Suid-Afrikaanse Geografiese Tydskrif 99, pp 52 –67 (2017) http://dx.doi.org/http://dx.doi.org/10.1080/03736245.2015.1117015More Less
Coastal landscapes have historically attracted a larger number of settlements than inland. This trend is expected to continue. Commonly, increase in coastal settlements has been accompanied by growth of existing urban areas. Such growth is characterized by transformation from natural landscapes to impervious surfaces associated with thermal elevation. This results in urban micro and macro climate alteration and increased vulnerability to climate change and associated impacts. This study sought to determine the role of existing land-use-land-cover (LULC) mosaics on thermal variability between three South African coastal metros using remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) dataset. Duncans post hoc one-way analysis of variance, multispectral Landsat 8 scenes and Terra MODIS were used to determine differences between the major LULC mosaics and their respective surface thermal values. Based on each of the metropolitan's LULC proportions and their respective thermal values from MODIS imagery, the Contribution Index was used to determine the source/sink contributions within each metropolitan area. The eThekwini metropolitan area, due to its dominant impervious surfaces proportion, was more vulnerable to elevated urban heat and therefore higher relative vulnerability to climate change and associated impacts than the Buffalo City and Nelson Mandela Bay metropolitans. Results in this study show the value of remotely sensed data-sets in determining inter and intra urban landscape matrix, thermal elevation and relative vulnerability to climate change. Such findings are particularly valuable for sustainable coastal urban landscape planning and mitigation of climate change-related impacts at local, regional and even global scales.
The Interactive-GIS-Tutor (IGIST) : an option for GIS teaching in resource-poor South African schoolsSource: South African Geographical Journal = Suid-Afrikaanse Geografiese Tydskrif 99, pp 68 –85 (2017) http://dx.doi.org/http://dx.doi.org/10.1080/03736245.2016.1208576More Less
This paper reports findings from a study that examined geographic information system (GIS) knowledge development after the introduction of an Interactive-GIS-Tutor (IGIST) as a multimedia teaching tool. Although GIS has been included in the curriculum over the past decade, the majority of teachers continue to lack formal GIS training, resources, and support. As a potential solution to this problem, the IGIST offers teachers the option of using either a computer connected to a digital projector or a computer laboratory within the same application. Nine classes of grade 11 geography learners (n = 215) were selected and separated into three groups: a projector group (IP), a computer group (IC) and a textbook group (C), which also acted as the control group. After the IGIST intervention, the IP group revealed a statistically significant effect with regard to knowledge development, whereas the IC group demonstrated a significant practical effect. Participant interviews confirmed that the use of IGIST in combination with a digital projector, or within a computer laboratory, is a workable GIS teaching and learning option. Future IGIST development recommendations include providing Multilanguage options and more video clips with exploratory activities in Quantum GIS. This work provides a foundation upon which to expand dialogue among GIS developers, academia, teachers and the Department of Basic Education on the development of workable GIS teaching options.
Identifying the changes in the quality of life of Southern African Development Community (SADC) migrants in South Africa from 2001 to 2011Source: South African Geographical Journal = Suid-Afrikaanse Geografiese Tydskrif 99, pp 86 –112 (2017) http://dx.doi.org/http://dx.doi.org/10.1080/03736245.2016.1208577More Less
Worldwide people migrate to improve their quality of life (QOL). This article determines whether the QOL of Southern African Development Community (SADC) migrants in South Africa has improved or deteriorated from 2001 to 2011. Variables pertaining to several dimensions of QOL (socio-economic characteristics, housing conditions, ownership of household goods and service delivery) were extracted from Census unit records, after which percentages were calculated and then standardized by subtracting the mean and dividing by the standard deviation. A factor analysis was then performed to determine the most important variables influencing the QOL of SADC migrants. Lastly, a mixed-model repeated-measures ANOVA was calculated, using the province and year as fixed effects, and municipalities as random effects, to assess whether statistically significant changes had occurred. Findings show an improvement in the socio-economic and service delivery dimensions of QOL for SADC migrants in South Africa as a whole from 2001 to 2011, but housing conditions had deteriorated, while the ownership of household goods remained relatively unchanged. However, the Western Cape is the only province where SADC migrants experienced an exceptional deterioration of most QOL dimensions. Some aspects to consider to improve the QOL of the SADC migrants are discussed.