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  6. EV5511: Spatial Information Analysis

EV5511: SPATIAL INFORMATION ANALYSIS (2016-2017)

Last modified: 28 Jun 2018 10:27


Course Overview

Advanced Spatial Information Analysis will take your basic GIS skills and introduce advanced analysis techniques relevant to marine and terrestrial ecology.

·         Course delivered by GIS professionals with number of relevant guest speakers from industry and NGO’s

·         Mainly practical based course to give hands on experience

·         Assessment based on research proposal can be linked to your research project

Provide you with the necessary GIS skills for careers in spatial analysis research and management of natural resources

Course Details

Study Type Postgraduate Level 5
Term Second Term Credit Points 7.5 credits (3.75 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Dr Philip Smith

Qualification Prerequisites

None.

What courses & programmes must have been taken before this course?

  • Either Any Postgraduate Programme (Studied) or MSci Biological Sciences (Studied)
  • Either Any Postgraduate Programme (Studied) or BI4015 Grant Proposal (Passed)
  • One of Any Postgraduate Programme (Studied) or EV5402 Introduction to GIS (Studied) or EV5513 Application of GIS in Environmental Sci & Microbiology, and Soil Sci (Studied)
  • One of MRes Ecology & Environmental Sustainability (Studied) or MRes Applied Marine and Fisheries Ecology (Studied) or MSc Ecology & Environmental Sustainability (Studied) or MSc Applied Marine and Fisheries Ecology (Studied) or Master Of Science In Ecology & Conservation (Studied) or MSci Biological Sciences (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

  • EV5509 Advanced Remote Sensing (Studied)

Are there a limited number of places available?

No

Course Description

Spatial Analysis is a keystone for the successful application of Geographical Information Systems (GIS) to environmental challenges. GIS only reaches its full potential when the power of spatial analysis is engaged. It requires a much deeper awareness of the underlying assumptions and methods. While GIS platforms (e.g. ArcGIS) offer easy access to very advanced spatial analytical and modelling tools, it is much more difficult to produce a valid, defensible analytical result. The overall goal of this course is to familiarise you with key methods and help you become an informed spatial analyst. This course aims to provide students with essential theoretical concepts of quantitative geography and spatial analysis but most of all focusing on the technical knowledge and skills necessary to investigate spatial patterns. Concepts examined include measures of geographical distribution (including point and areal pattern analysis) and spatial autocorrelation, interpolation, and geostatistics. The focus is on understanding the theories and context of spatial analysis so that you are equipped to find and apply the best analytical tool, interpret and present your results for your research project and later on in your academic or professional life.

Associated Costs

None

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Research proposal and oral presentation

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.
 

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