ES2S212 - Geospatial Applications in Wildlife Conservation 13 Sep 2023 - 31 Aug 2028 | Version 1
Associated Module Information
| Module Code: | ES2S212 | ||
|---|---|---|---|
| Module Title: | Geospatial Applications in Wildlife Conservation | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Applied Sciences | ||
| Faculty Sub Group: | Earth and Environment | ||
| Module Leader: | Niamh Breslin | ||
| Module Team: | Richard Penrose | ||
| First Intended Intake: | AUG 2024 | Final Year of Intake: | 2027 |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 5 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100469 - environmental management | 101318 - biodiversity conservation | |
| HECOS Code Weighting: | 50 | 50 | |
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 13 Sep 2023 |
| Valid To | 31 Aug 2028 |
Module Aims
To provide knowledge, understanding and application of contemporary techniques in collection, analysis and interpretation of ecological and wildlife spatial data for use in wildlife conservation management.
To develop professional, industry standard skills in geospatial data analysis.
To understand the strengths and limitations of a variety of geospatial datasets from multiple sources including Digimap, Planet, NASA, ESA and ESRI Living Atlas.
Content Summary
This module will equip students with the ability to solve real-world problems and answer contemporary questions in wildlife conservation and management through the acquisition, manipulation, and presentation of available spatial datasets. Students will develop an understanding of how to effectively manage large datasets and extract relevant data to carry out spatial analysis. Cartographic principles will be applied to design informative maps providing clear science communication and actionable intelligence.
Theory:
Principles of Cartography
Fundamentals of GIS and Remote Sensing
Applications of geospatial data and software for wildlife conservation and management (terrestrial and marine habitats).
Practical skills:
Use of QGIS and ArcGIS to process data and create maps, including use of advanced spatial analysis tools.
Use of ERDAS Imagine for processing of RS datasets.
Acquisition of geospatial data from a variety of sources and in a variety of formats, and subsequent cleaning and pre-processing of data.
Collection and application of GPS data.
Phase 1 habitat surveying and subsequent map creation.
Data management.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Practical classes and workshops | 32 |
| Fieldwork | 8 |
| Independent Study | 110 |
| Directed Study | 42 |
| Seminar | 8 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Development of a range of intermediate GIS and remote sensing skills and techniques coupled with an ability to collect, manipulate and evaluate spatial data, and use the outputs and the literature to answer specific research questions related to wildlife conservation. |
| LO2 | Critically appraise the range and applicability of commercially available GIS software packages and be able to use such software packages to correctly present spatial data and produce professional reports. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Practical Coursework 1 (Asynch) | Geospatial skills folio displaying competency in geospatial processing and cartographic design, with a discussion demonstrating understanding of the role of GIS/RS in various aspects of wildlife conservation. | 0 | 2000 | 65 | No | 40 |
| Asynchronous Assessment | Field coursework 1 | Phase 1 habitat survey at a local field site – subsequent map creation and report compilation. | 0 | 2000 | 35 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Practical Coursework 1 (Asynch) | ✔ | ✔ | |
| Field coursework 1 | ✔ | ✔ | |