CIS7030 – Geospatial Analysis

AY: 2019/20

CIS7030 – Geospatial Analysis

20 Credit Hours

Module Leader: Imtiaz Khan

Assessment Brief

Assessment Title:

Evaluation of different techniques and demonstration of skills in geospatial analysis

WRIT1 100 %


HAND-IN DATE: 15th Jan 2021


Learning Outcomes 3


Assessment Requirements / Tasks (include all guidance notes) 3

Assessment Criteria 5

Submission Details 5

Feedback 5

Marking Criteria 6

Additional Information 7

Referencing Requirements (Harvard) 7

Mitigating Circumstances 7

Unfair Practice 7

Learning Outcomes

This assessment is designed to demonstrate a student’s completion of the following Learning Outcomes:

  • Critically analyse and evaluate various statistical and computational techniques for analysing datasets and determine the most appropriate technique for a business problem;
  • Critically evaluate, develop and implement solutions for processing datasets and solving complex problems in various environments using relevant programming paradigms;
  • Evaluate and apply key steps and issues involved in data preparation, cleaning, exploring, creating, optimizing and evaluating models;
  • Evaluate and apply aspects of data science applications and their use.


The Cardiff Met EDGE supports students in graduating with the knowledge, skills, and attributes that allow them to contribute positively and effectively to the communities in which they live and work.

This module assessment provides opportunities for students to demonstrate development of the following EDGE Competencies:

ETHICAL Students will be required to consider Ethical implication of their analysis and follow the necessary ethical approval processes while addressing problems associated with the assessment.
DIGITAL Students will be required to demonstrate digital skills in the collation of data and analysis for their project.
GLOBAL Students will demonstrate an awareness of the global context and apply this to their assessment
ENTREPRENEURIAL Students will also demonstrate their developed entrepreneurial through working under their own initiative, formulating and presenting recommendations in order to solve an authentic and complex problem associated with the module.

Assessment Requirements / Tasks (include all guidance notes)

  1. Review on different techniques used for geospatial analysis and social media information analysis (20%)

A detailed review on the following applications

  • ArcGIS
  • Tableau
  • Open Street Map
  • Sentiment analysis

Your review should cover following aspects of each application

  • Brief introduction
  • Functionality
  • Common use in different areas (business, social study, public health etc.)
  • Strengths and limitations
  1. Use ArcGIS to tell your story. (20%)

Select a suitable layout and explain using ArcGIS to tell your story. Where you are originally from, how you travelled from your home country to here, where you stay, shop, how you commute etc.

  1. Apply appropriate geospatial visualization application (e.g. ArcGIS, Google Map, Google Fusion Table, Tableau) on the dataset provided (25%)

Use the dataset Population estimates by local authority and year with aforementioned applications. Utilize appropriate visualization techniques of each application (e.g. different markers, heatmap etc.) to highlight the areas seeing a significant increase or decrease in the population (WALES ONLY). With screen shots, create a dashboard and provide a brief description of your interpretation of each screen shot.

  1. Design and develop a python script for analyzing the dataset and answer specific questions. (35%)

The dataset provided is for the Deaths count by local authority and cause of death, for deaths that occurred up to 30th October 2020 (Week 1 – 44 2020).

  • List and map top and bottom three LOCAL AUTHORITY based on the death count.
  • List and map top and bottom three HEALTH BOARD based on the death count.
  • Which HEALTH BOARD and LOCAL AUTHORITY has the highest number of deaths in week 22.
  • Plot the areas with highest number of deaths in each ‘Place of death’.
  • Which area has the highest number of deaths in care homes due to COVID 19 (report health board and local authority separately)?

Submission Details

Please see Moodle for confirmation of the Assessment submission date.

Any assessments submitted after the deadline will not be marked and will be recorded as a Non-Attempt.

The assessment must be submitted as a zip file / pdf / word document through the Turnitin submission point in Moodle

Your assessment should be titled with your Student ID Number, module code and assessment id, e.g. st12345678 CIS7030 WRIT_Resit


Feedback for the assessment will be provided electronically via Moodle, and will normally be available 4 working weeks after initial submission. The feedback return date will be confirmed on Moodle.

Feedback will be provided in the form of a rubric and supported with comments on your strengths and the areas which you improve.

All marks are preliminary and are subject to quality assurance processes and confirmation at the Examination Board.

Further information on the Academic and Feedback Policy in available in the Academic Handbook (Vol 1, Section 4.0)

Marking Criteria

70 – 100% (1st)
Addressed all sections and provided correct answers with elegant presentation of results. Applied correct data analysis approaches and provided excellent interpretation on each section.
60-69% (2:1)
Addressed all sections and provided correct answers with good presentation of results. Applied mostly correct data analysis approaches and provided very good interpretation on each section.
50-59% (2:2)
Addressed most of the sections and provided mostly correct answers with average presentation of results. Applied some correct data analysis approaches and provided an average interpretation on each section.
40-49% (3rd)
Addressed few sections with few correct answers with/out any presentation of results. Applied mostly incorrect data analysis approaches and provided poor interpretation on each section.
35-39% (Narrow Fail) Addressed few sections and provided mostly incorrect answer with poor presentation of results. Applied incorrect data analysis approaches and provided poor interpretation.
<35% (Fail)
Very poor report missing one or more required parts.

Additional Information

Referencing Requirements (Harvard)

The Harvard (or author-date) format should be used for all references (including images).

Further information on Referencing can be found at Cardiff Met’s Academic Skills website.

Mitigating Circumstances

If you have experienced changes or events which have adversely affected your academic performance on the assessment, you may be eligible for Mitigating Circumstances (MCs). You should contact your Module Leader, Personal Tutor or Year Tutor in the first instance.

An application for MCs, along with appropriate supporting evidence, can be submitted via the following link to the MCs Dashboard

Applications for MCs should ideally be submitted as soon as possible after circumstances occur & at the time of the assessment. Applications must be submitted before the relevant Examination Board.

Further information on the Mitigating Circumstances procedure is available in the Academic Handbook (Volume 1, Section 5)

Unfair Practice

Cardiff Metropolitan University takes issues of unfair practice extremely seriously. The University has distinct procedures and penalties for dealing with unfair practice in examination or non-examination conditions. These are explained in full in the University’s Unfair Practice Procedure (Academic Handbook: Vol 1, Section 8)

Types of Unfair Practice, include:

Plagiarism, which can be defined as using without acknowledgement another person’s words or ideas and submitting them for assessment as though it were one’s own work, for instance by copying, translating from one language to another or unacknowledged paraphrasing. Further examples include:

  • Use of any quotation(s) from the published or unpublished work of other persons, whether published in textbooks, articles, the Web, or in any other format, which quotations have not been clearly identified as such by being placed in quotation marks and acknowledged.
  • Use of another person’s words or ideas that have been slightly changed or paraphrased to make it look different from the original.
  • Summarising another person’s ideas, judgments, diagrams, figures, or computer programmes without reference to that person in the text and the source in a bibliography or reference list.
  • Use of services of essay banks and/or any other agencies.
  • Use of unacknowledged material downloaded from the Internet.
  • Re-use of one’s own material except as authorised by the department.

Collusion, which can be defined as when work that that has been undertaken with others is submitted and passed off as solely the work of one person. An example of this would be where several students work together on an assessment and individually submit work which contains sections which are the same. Assessments briefs will clearly identify where joint preparation and joint submission is specifically permitted, in all other cases it is not.

Fabrication of data, making false claims to have carried out experiments, observations, interviews or other forms of data collection and analysis, or acting dishonestly in any other way.

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