The
general objective of this project is to investigate the use of GIS in
planning the development of natural resources of Zimbabwe and the sustainable
development of urban infrastructurel.
Specific
objectives
Partners institutions and principal investigators
D.T.
Semwayo (co-ordinator) Institute of Environmental Studies
Dr.
Hapanyengwi, Computer Centre
Dr.
S. Mazhindu-Shumba, Computer Science Department
Mr.
P. Matambanadzo, Geo-infomatics and Surveying
Dr.
C. Kunaka, Geography Department
Dr.
Ph. Mugabe, Centre for Applied Social Studies
Dr.
P. Mugabe, Animal Science Department
Mrs.
C. Davison, Department of Urban and Rural Planning
Dr.
A. Makarau, Physics Department
Expected project outputs
The
following are the expected project outputs;
Trained
graduate students in the design and development of an integrated and
distributed environmental information systems network of GIS
databases.
A
conceptual framework for an environmental information system for data
warehousing and data sharing between distributed GIS databases
An
operational integrated and distributed environmental information
systems (EIS) network of application specific GIS databases at the
University of Zimbabwe
A meta-database providing an index and entry point to the proposed EIS.
Research papers on the use of GIS for environmental management and GIS database integration.
Below is the a summary of the research projects being undertaken:
This
project centres on the monitoring of climate changes and the effects it
might have on desertification and the environment. The major aim of the
research is to establish: (a) whether there is a climate change or not
thus establishing weather trends; (b) does the climate have an impact on
desertification or vice versa; (c) do other factors such as anthropogenic
factors have an effect on desertification; (d) quantifying
analysing_ation. The climatic and desertification trends
established using data from the year 1934 to present would be used to
project into the future.
Researchers:
S.Chinorumba, Dr. A. Makarau
The
major aim of the project is to come up with spatial accessibility indices
so as to determine road networks by analysing existing road networks,
settlement patterns, land use, drainage, topology and population
distribution. The outputs will be used as a planning tool to improve road
network development, service development and settlement planning in rural
areas.
Researchers:
C.T. Mandipa, Dr C. Kunaka.
When
a tourist development is being set up environmental impact analysis is
carried out to determine the effects the development might have on the
environment, with main emphasis on the aesthetic effects. The EIA is
mostly done manually. This project centred on using GIS tools to carry out
an EIA. A hypothetical development was be erected on the chosen site and
then an EIA and Sensitivity Analysis carried out using GIS. The resultant
system may then be used for tourism and development planning.
Researchers:
R. Mhere-Chinamo, Dr. G.T. Hapanyengwi, Mr. D. Semwayo
A
model was developed on the implementation of GIS systems using an
object-oriented approach. The model will be tested on meteorological data.
Researchers:
G.C. Mpande, Mr. P. Matambanadzo
The
project entailed the development of a framework or conceptual model to
integrate knowledge based systems and GIS. Hypothetical data was used to
test the conceptual model. The project came about as a result of the
workshop on the Sengwe area, which highlighted the need for a knowledge
base to be used together with geo-spatial data of the Sengwe area.
Researchers:
D. Murambadoro, Dr. G.T. Hapanyengwi
This
project entails the development and implementation of algorithms to
collect and integrate data from various data sources with geo-spatial data
and attribute data. The collection of this data will enable complex
analysis and faster decision support for various data collected from and
for the same area Two implemented approaches will be compared and analysis
carried out to determine which is the best approach and in what
circumstances it is best used.
Researchers:
D. Ndlovu, Dr. G.T. Hapanyengwi
This research was on the usage of GIS applications in monitoring drought and desertification in Northeast Zimbabwe. The major objective of this research was to come up with policies, which can be used to address problems of drought and desertification. Besides bringing about political awareness, the project determined societal vulnerability to climate change.
Researchers:
Dr. A. Makarau, D. Nyanganyura
The
research involves development of an Integrated Spatial Information System
for a Town (INSIST). INSIST is a GIS-based system for enhanced urban
management. Another component is on accessibility analysis in rural areas
focussing on Mashonaland East. The objective is to identify areas with
accessibility constraints using GIS tools in order to improve the planning
of access to services in the communal areas.
Researchers:
Dr. C. Kunaka
This
is work towards the development of a distributed GIS based on Persistent
Java. For data extraction the Z39-50 protocol and Lambda calculus will be
used to test objects built from queries. He has selected Java because it
has built in protocols such as TCP/IP and the Z39-50 built on top of the
TCP/IP protocol. In short, this is the lazy approach to data integration
in a GIS environment with the special use of persistent objects to store
data.
Researcher:
Mr. P. Matambanadzo
The
objective of the research is to apply information-engineering techniques
of user needs and information analysis to specify precisely data and
meta-data required to model information requirements for a user oriented
land cover classification scheme implemented in a GIS. The product of the
data specification and data modelling exercise should be a proposed new
data model, the Unrestricted Data Unit model (UDU). The UDU model should be able to support the implicit relationships between
the world view entities used in land cover classification. It should also
be flexible enough to accommodate the various mappings suited to the data
in several land cover and other associated classification systems, hence
the term, unrestricted data unit model. The proposed data units architecture will incorporate meta-data. The
meta-data will be used at implementation to determine which mapping is
best suited for a particular data unit for a specific classification
system.
For further information on the projects going on at the Institute of Environmental Studies Contact: Ms D Vhevha