GGH2607
Assignment 3 Semester 1 2026
Unique number:
Due Date: April 2026
SCENARIO 1: GIS ANALYSIS OF FLOOD-PRONE FARMING AREA
To evaluate the flood-prone farming communities south of Enon in the Eastern Cape, a
Geographic Information System (GIS) will be used to integrate spatial and attribute datasets
and perform spatial analysis. The aim is to answer the three specified questions using
structured GIS procedures.
1. Farms adjacent to the river
OR
SCENARIO 2: GIS ANALYSIS OF THE KOGELBERG BIOSPHERE RESERVE
The Kogelberg Biosphere Reserve is a sensitive ecological area characterised by high
biodiversity and increasing human pressure. A Geographic Information System (GIS) will be
used to integrate spatial and attribute data to assess human activity within conservation
boundaries and support environmental management decisions.
1. Points of interest located inside the conservation area Terms of use
By making use of this document you agree to:
Use this document as a guide for learning, comparison and reference purpose,
Terms of use
Not to duplicate, reproduce and/or misrepresent the contents of this document as your own work,
By making use of this document you agree to:
Use this document
Fully accept the consequences
solely as a guide forshould you plagiarise
learning, reference,or and
misuse this document.
comparison purposes,
Ensure originality of your own work, and fully accept the consequences should you plagiarise or misuse this document.
Comply with all relevant standards, guidelines, regulations, and legislation governing academic and written work.
Disclaimer
Great care has been taken in the preparation of this document; however, the contents are provided "as is" without any express or
implied representations or warranties. The author accepts no responsibility or liability for any actions taken based on the
information contained within this document. This document is intended solely for comparison, research, and reference purposes.
Reproduction, resale, or transmission of any part of this document, in any form or by any means, is strictly prohibited.
, +27 81 278 3372
SCENARIO 1: GIS ANALYSIS OF FLOOD-PRONE FARMING AREA
To evaluate the flood-prone farming communities south of Enon in the Eastern Cape,
a Geographic Information System (GIS) will be used to integrate spatial and attribute
datasets and perform spatial analysis. The aim is to answer the three specified
questions using structured GIS procedures.
1. Farms adjacent to the river
Datasets used:
Spatial data: River layer, Buildings layer (farms identified as a building type)
Attribute data: Building type (to filter farms)
Method and analysis:
The first step is to query the attribute table of the buildings dataset using a Boolean
expression such as:
Building_Type = "Farm"
This isolates all farm features.
Next, a spatial selection is applied using the “Select by Location” tool. The spatial
relationship used is “adjacent to” or “within a specified distance” from the river layer.
In GIS practice, adjacency is often operationalised using a buffer. A small buffer (for
example, 10–20 metres) is created around the river using the Buffer tool.
The farm layer is then overlaid with the river buffer using spatial query:
Boolean spatial operator: INTERSECT
The GIS will return all farm features that intersect or fall within the buffer zone. The
number of selected features is obtained using the attribute table count function,
giving the total number of farms adjacent to the river (Baron, 2025).
Disclaimer
Great care has been taken in the preparation of this document; however, the contents are provided "as is"
without any express or implied representations or warranties. The author accepts no responsibility or
liability for any actions taken based on the information contained within this document. This document is
intended solely for comparison, research, and reference purposes. Reproduction, resale, or transmission
of any part of this document, in any form or by any means, is strictly prohibited.
Assignment 3 Semester 1 2026
Unique number:
Due Date: April 2026
SCENARIO 1: GIS ANALYSIS OF FLOOD-PRONE FARMING AREA
To evaluate the flood-prone farming communities south of Enon in the Eastern Cape, a
Geographic Information System (GIS) will be used to integrate spatial and attribute datasets
and perform spatial analysis. The aim is to answer the three specified questions using
structured GIS procedures.
1. Farms adjacent to the river
OR
SCENARIO 2: GIS ANALYSIS OF THE KOGELBERG BIOSPHERE RESERVE
The Kogelberg Biosphere Reserve is a sensitive ecological area characterised by high
biodiversity and increasing human pressure. A Geographic Information System (GIS) will be
used to integrate spatial and attribute data to assess human activity within conservation
boundaries and support environmental management decisions.
1. Points of interest located inside the conservation area Terms of use
By making use of this document you agree to:
Use this document as a guide for learning, comparison and reference purpose,
Terms of use
Not to duplicate, reproduce and/or misrepresent the contents of this document as your own work,
By making use of this document you agree to:
Use this document
Fully accept the consequences
solely as a guide forshould you plagiarise
learning, reference,or and
misuse this document.
comparison purposes,
Ensure originality of your own work, and fully accept the consequences should you plagiarise or misuse this document.
Comply with all relevant standards, guidelines, regulations, and legislation governing academic and written work.
Disclaimer
Great care has been taken in the preparation of this document; however, the contents are provided "as is" without any express or
implied representations or warranties. The author accepts no responsibility or liability for any actions taken based on the
information contained within this document. This document is intended solely for comparison, research, and reference purposes.
Reproduction, resale, or transmission of any part of this document, in any form or by any means, is strictly prohibited.
, +27 81 278 3372
SCENARIO 1: GIS ANALYSIS OF FLOOD-PRONE FARMING AREA
To evaluate the flood-prone farming communities south of Enon in the Eastern Cape,
a Geographic Information System (GIS) will be used to integrate spatial and attribute
datasets and perform spatial analysis. The aim is to answer the three specified
questions using structured GIS procedures.
1. Farms adjacent to the river
Datasets used:
Spatial data: River layer, Buildings layer (farms identified as a building type)
Attribute data: Building type (to filter farms)
Method and analysis:
The first step is to query the attribute table of the buildings dataset using a Boolean
expression such as:
Building_Type = "Farm"
This isolates all farm features.
Next, a spatial selection is applied using the “Select by Location” tool. The spatial
relationship used is “adjacent to” or “within a specified distance” from the river layer.
In GIS practice, adjacency is often operationalised using a buffer. A small buffer (for
example, 10–20 metres) is created around the river using the Buffer tool.
The farm layer is then overlaid with the river buffer using spatial query:
Boolean spatial operator: INTERSECT
The GIS will return all farm features that intersect or fall within the buffer zone. The
number of selected features is obtained using the attribute table count function,
giving the total number of farms adjacent to the river (Baron, 2025).
Disclaimer
Great care has been taken in the preparation of this document; however, the contents are provided "as is"
without any express or implied representations or warranties. The author accepts no responsibility or
liability for any actions taken based on the information contained within this document. This document is
intended solely for comparison, research, and reference purposes. Reproduction, resale, or transmission
of any part of this document, in any form or by any means, is strictly prohibited.
