Weighting of assessment: 100% total marks
Word Limits: 6000 Words
Aim(s)
This module aims to provide students with the opportunity to gain experience and to develop skills
in handling spatial data and to both identify and understand any patterns revealed within that data
through the application of various techniques in spatial analysis.
Learning Outcomes
On successful completion of the module students should be able to:
- Synthesise underlying geospatial concepts and apply them appropriately;
- Critically evaluate forms of social analytics, applying appropriate techniques on social
information; - Determine, design, prototype and implement geospatial applications;
- Critically evaluate and identify emerging technologies and research areas relevant to
geospatial analystics.
Assignment Brief
Task 1 – Descriptive explaining (4000 words, 50%)
a) Utilization of geospatial information are widely associates in social context with
the support of different geospatial applications. (2000 words, 20% weightage)
Discuss the techniques in conducting a geospatial analysis using each following
applications and presenting the result / output with social media.
Applications
- QGIS
- ArcGIS Online
- Open Street Maps
- Google Maps
Techniques - Data Input
- Data Management
- Operations and function
- Data output
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b) The usage of geospatial technology are very minimal in Sri Lanka, comparative to
other countries in the world. (2000 words, 30% weightage)
Propose two (2) different geospatial applications which can fulfill the current needs of
Sri Lankans. Following aspects should be incorporated in each proposal - Need assessment
- Different types of data to be input
- Proposed functions / operations
- Expected output
You may refer Esri applications (http://www.esri.com/industries), but not necessary
limit it.
Task 2 – Geospatial Application (25%)
Geospatial analysis can be applicable for the matters not only contexts in social, but also
environmental, economic and political.
Municipal council Gampha has decided to identify suitable spatial regions for dumping waste
within the district secretariat division Gampaha. Following criteria should be followed in
selecting the suitable spatial regions using QGIS software.
Land use type should be garden
At least 500 m away from waterbodies
Population density is less than 1500 per km2
Less than 50m away from secondary road
At least 200m away from main road
Following data are provided
Land use type of Gampaha D.S. Division
Population of GN divisions in Gampaha D.S. Division
Roads of Gampaha D.S. Division
Water bodies of Gampaha D.S. Division
Use the existing CRS as project CRS in QGIS software and present your result.
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Task 3 – Geospatial Modelling through Programming (25%)
Use of python programming to analyze Geospatial data in social context
You are provided all kinds of crime details during first six month of the year 2017 in Colombo
Municipal Council area (1-15 divisions). Further details of schools and police stations are also
provided. You may use graphs, charts or map, where necessary and explain your answer for
following questions.
a. What are divisions having highest overall crime densities?
b. What is most occurring crime in each division?
c. Which month occurred the highest number of crime in each division?
d. Prove/disprove the statement – “Drug occurrence mostly occurs in the areas
lesser than 150m from school”.
Important Information for Students
A hard copy spiral bound document must be submitted to the postgraduate department
and the softcopy of the assignment should be uploaded to ICBT SIS on or before the
deadline. In addition to this, the softcopy of the assignment should be uploaded to
the TURNITIN via Cardiff Met Moodle. Students must upload the softcopy before
the hardcopy submission. The submission of hardcopy and uploading of softcopy must
take place on or before 04.30 pm on the submission day.
Please log on to www.icbtsis.lk to upload your assignment.
For TURNITIN submission please log on to www.cardiffmet.ac.uk and submit
through the Moodle.
Uploaded softcopy should be named as MSc IT-(subject number) (followed by the
Cardiff met student ID.
E.g. for Object Oriented Programming Assignment
MSc IT-7010 -2000000
Students are expected to keep a backup of all the assignments. ICBT and Cardiff
Metropolitan University have all the right to re call for soft copy of any assignment at
any time during the course.
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Please note that plagiarism is treated as a serious offence and therefore the work you
produce must be individual and original although may work in groups in some
instances (Please refer to Student Handbook on Plagiarism & Cheating).
All sources of information must be referenced using “Harvard referencing” where a
reference listing should be included at the end of the assignment.
Please note that the submission date given for this assignment is the final date that you
can upload the assignment. No late submissions are allowed by the system. (Please refer
to the Student Handbook on Assessments – Late Submissions).
Please refer to Student Handbook on Assignments – Re-submission, mitigating
circumstances procedure.
Please include the assignment coversheet in your answer. Please avoid copying
assignment question in your answer file.