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
DISCLAIMER & TERMS OF USE
Educational Aid: These study notes are intended to be used as educational resources and should not be seen as a
replacement for individual research, critical analysis, or professional consultation. Students are encouraged to perform
their own research and seek advice from their instructors or academic advisors for specific assignment guidelines.
Personal Responsibility: While every effort has been made to ensure the accuracy and reliability of the information in
these study notes, the seller does not guarantee the completeness or correctness of all content. The buyer is
responsible for verifying the accuracy of the information and exercising their own judgment when applying it to their
assignments.
Academic Integrity: It is essential for students to maintain academic integrity and follow their institution's policies
regarding plagiarism, citation, and referencing. These study notes should be used as learning tools and sources of
inspiration. Any direct reproduction of the content without proper citation and acknowledgment may be considered
academic misconduct.
Limited Liability: The seller shall not be liable for any direct or indirect damages, losses, or consequences arising from
the use of these notes. This includes, but is not limited to, poor academic performance, penalties, or any other negative
consequences resulting from the application or misuse of the information provided.
, For additional support +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).
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
DISCLAIMER & TERMS OF USE
Educational Aid: These study notes are intended to be used as educational resources and should not be seen as a
replacement for individual research, critical analysis, or professional consultation. Students are encouraged to perform
their own research and seek advice from their instructors or academic advisors for specific assignment guidelines.
Personal Responsibility: While every effort has been made to ensure the accuracy and reliability of the information in
these study notes, the seller does not guarantee the completeness or correctness of all content. The buyer is
responsible for verifying the accuracy of the information and exercising their own judgment when applying it to their
assignments.
Academic Integrity: It is essential for students to maintain academic integrity and follow their institution's policies
regarding plagiarism, citation, and referencing. These study notes should be used as learning tools and sources of
inspiration. Any direct reproduction of the content without proper citation and acknowledgment may be considered
academic misconduct.
Limited Liability: The seller shall not be liable for any direct or indirect damages, losses, or consequences arising from
the use of these notes. This includes, but is not limited to, poor academic performance, penalties, or any other negative
consequences resulting from the application or misuse of the information provided.
, For additional support +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).
