Factors affecting the functioning of the pro-active land acquisition strategy in the Buffalo City Municipal area
- Authors: Mfuywa, Sigqibo Onward
- Date: 2012
- Subjects: Land reform -- South Africa -- Eastern Cape , Land tenure -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MPhil
- Identifier: vital:8250 , http://hdl.handle.net/10948/d1011786 , Land reform -- South Africa -- Eastern Cape , Land tenure -- South Africa -- Eastern Cape
- Description: A Pro-active Land Acquisition Strategy is an aspect of the land reform programme which is aimed at speeding up land acquisition. The distinct feature of this approach is that the State acquires land pro-actively and then identifies beneficiaries who then become leaseholders. In other land reform programmes the land is acquired by the state and transferred to the beneficiaries, who then own the land. The Pro-active Land Acquisition Strategy was approved ‘in principle’ in July 2003, and included Ministerial provisions that an implementation plan be developed prior to the implementation of the strategy in 2006. The Pro-active Land Acquisition Strategy deals with two possible approaches: a needs-based approach and a supply-led approach, but essentially focuses on the State as the lead driver in land redistribution, rather than the current beneficiary-driven redistribution (Pro-active Land Acquisition Strategy, 2006:4). The Department of Land Affairs Pro-active Land Acquisition Strategy implementation plan (2006:4) further outlines the important elements in order to contextualize the Proactive Implementation Framework, and to stress the revision of the plan in terms of the “new trajectory”. The strategy shifts from the principle that there is a need or demand for land. It is not driven by the demand of beneficiaries, but rather state-driven. This means that the State will target proactively land and compare this with the demand for land.
- Full Text:
- Date Issued: 2012
- Authors: Mfuywa, Sigqibo Onward
- Date: 2012
- Subjects: Land reform -- South Africa -- Eastern Cape , Land tenure -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MPhil
- Identifier: vital:8250 , http://hdl.handle.net/10948/d1011786 , Land reform -- South Africa -- Eastern Cape , Land tenure -- South Africa -- Eastern Cape
- Description: A Pro-active Land Acquisition Strategy is an aspect of the land reform programme which is aimed at speeding up land acquisition. The distinct feature of this approach is that the State acquires land pro-actively and then identifies beneficiaries who then become leaseholders. In other land reform programmes the land is acquired by the state and transferred to the beneficiaries, who then own the land. The Pro-active Land Acquisition Strategy was approved ‘in principle’ in July 2003, and included Ministerial provisions that an implementation plan be developed prior to the implementation of the strategy in 2006. The Pro-active Land Acquisition Strategy deals with two possible approaches: a needs-based approach and a supply-led approach, but essentially focuses on the State as the lead driver in land redistribution, rather than the current beneficiary-driven redistribution (Pro-active Land Acquisition Strategy, 2006:4). The Department of Land Affairs Pro-active Land Acquisition Strategy implementation plan (2006:4) further outlines the important elements in order to contextualize the Proactive Implementation Framework, and to stress the revision of the plan in terms of the “new trajectory”. The strategy shifts from the principle that there is a need or demand for land. It is not driven by the demand of beneficiaries, but rather state-driven. This means that the State will target proactively land and compare this with the demand for land.
- Full Text:
- Date Issued: 2012
A feasibility study into total electron content prediction using neural networks
- Authors: Habarulema, John Bosco
- Date: 2008
- Subjects: Electrons , Neural networks (Computer science) , Global Positioning System , Ionosphere , Ionospheric electron density
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: vital:5466 , http://hdl.handle.net/10962/d1005251 , Electrons , Neural networks (Computer science) , Global Positioning System , Ionosphere , Ionospheric electron density
- Description: Global Positioning System (GPS) networks provide an opportunity to study the dynamics and continuous changes in the ionosphere by supplementing ionospheric measurements which are usually obtained by various techniques such as ionosondes, incoherent scatter radars and satellites. Total electron content (TEC) is one of the physical quantities that can be derived from GPS data, and provides an indication of ionospheric variability. This thesis presents a feasibility study for the development of a Neural Network (NN) based model for the prediction of South African GPS derived TEC. The South African GPS receiver network is operated and maintained by the Chief Directorate Surveys and Mapping (CDSM) in Cape Town, South Africa. Three South African locations were identified and used in the development of an input space and NN architecture for the model. The input space includes the day number (seasonal variation), hour (diurnal variation), sunspot number (measure of the solar activity), and magnetic index(measure of the magnetic activity). An attempt to study the effects of solar wind on TEC variability was carried out using the Advanced Composition Explorer (ACE) data and it is recommended that more study be done using low altitude satellite data. An analysis was done by comparing predicted NN TEC with TEC values from the IRI2001 version of the International Reference Ionosphere (IRI), validating GPS TEC with ionosonde TEC (ITEC) and assessing the performance of the NN model during equinoxes and solstices. Results show that NNs predict GPS TEC more accurately than the IRI at South African GPS locations, but that more good quality GPS data is required before a truly representative empirical GPS TEC model can be released.
- Full Text:
- Date Issued: 2008
- Authors: Habarulema, John Bosco
- Date: 2008
- Subjects: Electrons , Neural networks (Computer science) , Global Positioning System , Ionosphere , Ionospheric electron density
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: vital:5466 , http://hdl.handle.net/10962/d1005251 , Electrons , Neural networks (Computer science) , Global Positioning System , Ionosphere , Ionospheric electron density
- Description: Global Positioning System (GPS) networks provide an opportunity to study the dynamics and continuous changes in the ionosphere by supplementing ionospheric measurements which are usually obtained by various techniques such as ionosondes, incoherent scatter radars and satellites. Total electron content (TEC) is one of the physical quantities that can be derived from GPS data, and provides an indication of ionospheric variability. This thesis presents a feasibility study for the development of a Neural Network (NN) based model for the prediction of South African GPS derived TEC. The South African GPS receiver network is operated and maintained by the Chief Directorate Surveys and Mapping (CDSM) in Cape Town, South Africa. Three South African locations were identified and used in the development of an input space and NN architecture for the model. The input space includes the day number (seasonal variation), hour (diurnal variation), sunspot number (measure of the solar activity), and magnetic index(measure of the magnetic activity). An attempt to study the effects of solar wind on TEC variability was carried out using the Advanced Composition Explorer (ACE) data and it is recommended that more study be done using low altitude satellite data. An analysis was done by comparing predicted NN TEC with TEC values from the IRI2001 version of the International Reference Ionosphere (IRI), validating GPS TEC with ionosonde TEC (ITEC) and assessing the performance of the NN model during equinoxes and solstices. Results show that NNs predict GPS TEC more accurately than the IRI at South African GPS locations, but that more good quality GPS data is required before a truly representative empirical GPS TEC model can be released.
- Full Text:
- Date Issued: 2008
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