5AssessmentThe assessment for this Module consists of two items: a portfolio of completedpractical exercise as a written report, a critical review of spatial data analysis on anapplication area (approx. 2,500 words)Coursework should be submitted on-line using Moodle. Your work should firstbe submitted to Turnitin (see Annex 2) to guard against plagiarism and you canre-submit corrected … Continue reading “critical review of spatial data analysis | My Assignment Tutor”
5AssessmentThe assessment for this Module consists of two items: a portfolio of completedpractical exercise as a written report, a critical review of spatial data analysis on anapplication area (approx. 2,500 words)Coursework should be submitted on-line using Moodle. Your work should firstbe submitted to Turnitin (see Annex 2) to guard against plagiarism and you canre-submit corrected work up to the due date and time that is specified for each pieceof coursework. It is the student’s responsibility to ensure that coursework hasbeen properly submitted on-line to the designated Moodle drop box. Late workmay not accepted for marking and could be treated as a non-submission. Ifthere are justified extenuating circumstances then these should be submitted onthe requisite form according to the general academic regulations. The minimumpass mark for the module is 50%. Students who are unsuccessful in any M-levelassessment can be re-assessed once without attendance and should they not besuccessful on the second take must re-take the module with attendance.Assessment Spatial Data AnalysisModule Code: DS7002Level: 7Credit: 30ECTS credit: 15 Assessment methods which enable student to demonstratethe learning outcomes for the Module:CourseworkCoursework: portfolio of completed practical exercise as awritten report.Essay: critical review of an application area (approx.2,500 words)Weighting:50%50%LearningOutcomesdemonstrated:1,2,3,5,6,8All Portfolio of Exercise ResultsThis carries 50% of the marks for this Module.Each set of exercise set to be carried out during the supervised practical session and in your owntime. The results of these exercises and short reflections upon them should be entered into a portfolio.The portfolio should be kept succinct and not bulked up with printed copies of data sets etc. Marks willbe awarded for completion of exercises, appropriate presentation of the results (includingconciseness) and for the perceptiveness of the reflections.Critical ReviewThis carries 50% of the marks for this Module.The coursework takes the form of a critical review for techniques and impacts of spatial data analysison social or economic or environmental applications.The student may wish to focus on one area of applications (such as crime, health, education,transport, asset management, business or environment). The review should be critically framed, usingthe literature and other resources, to bring together arguments that support and question what is goingon. In other words, just a description is insufficient.The review will have 2,500 words equivalence. It should include the following sections
a abstract summarising the main points; an introduction to the topic and its context; a critical discussion of techniques and impacts on the chosen application area; draw your conclusions and any hypotheses you may raise for further research; a list of references cited in the text according to the Harvard convention.8Dates:10th March 2021: a short email to which application area is chosen for your critical review.2nd April 2020: both preliminary drafts of your portfolio and review through the Moodle dropboxin a Word file named with you student number in the form u123456_DS7002_cw1_draft.doc(or .docx) and u123456_DS7002_cw2_draft.doc (or .docx)23rd April 2020: your final portfolio and review through the Turnitin dropbox and then through the FinalAssignment dropbox in Moodle as a Word file named with you student number in the formu123456_DS7002_cw1_final.doc (or .docx) and u123456_DS7002_cw2_final.doc (or .docx)The assignment must be submitted through Moodle before midnight on the due date.9Annex1: Module Specification Module Title:Spatial Data AnalysisModule Code: DS7002Level: 7Credit: 30ECTS credit: 15Module Leader:Dr Yang LiProf. Allan BrimicombePre-requisite: NonePre-cursor: NoneCo-requisite: NoneExcluded combinations: NoneIs this module part of the SkillsCurriculum? NoUniversity-wide option: YesLocation of delivery: UELMain Aim(s) of the Module:This module aims for students to understand the concept and theory of spatial data analysis, anddevelop the skill and problem-solving ability by applying a range of spatial analysis techniques.Main Topics of Study: Concepts of spatial data structure, reference and sources Spatial query Spatial operations and transformation Thematic mapping Spatial clustering analysis & hotspots Spatial network analysis Spatial dependence, correlation and regression Geodemographics Spatial decision support Location-based servicesLearning Outcomes for the ModuleAt the end of this Module, students will be able to:Knowledge and thinking skills1. Understand the concept and theoretical knowledge of spatial data analysis2. Develop the problem-solving ability for spatial phenomenon3. Interpret the results of spatial analysis4. Critically evaluate different approaches and solutions using knowledge learnt.Subject-based practical skills5. Understand and critically apply a selection of techniques for analysing spatial data6. Competently use spatial SQL, GIS software and relevant spatial analysis techniques7. Able to design a technical solution for spatial analysis applications.Skills for life and work (general skills)8. Apply spatial reasoning skills for a range of data projects9. Critically evaluate spatial data and analysis results for decision making. 10 A combination of the following teaching/ learning methods/strategies will be used to enable theachievement of learning outcomes: Lectures and seminars will focus on concepts, method and techniques of spatial data analysis. Self directed negotiated learning will be used in preparation, practicing, and carrying out thecoursework.Assessment methods which enable student to demonstratethe learning outcomes for the Module:CourseworkCoursework: portfolio of completed practical exercise as awritten report.Essay: critical evaluation of an application area (approx.2,500 words)Weighting:50%50%LearningOutcomesdemonstrated:1,2,3,5,6,8AllRecommended Reading for this Module:Bailey, T.C. & Gatrell, A.C. (1995) Interactive Spatial Data Analysis. Longman, Harlow, UK.Brimicombe, A. (2010) GIS, Environmental Modelling and Engineering. 2nd Edition. CRC Press,Boca Raton, FL.Brimicombe, A.J. & Li, C. (2009) Location-Based Services and Geo-Information Engineering.Wiley, Chichester.Brunsdon, C. & Comber, L. (2018) An Introduction to R for Spatial Analysis & Mapping. 2nd Edition.SAGE.Brunsdon, C. & Singleton, A. (2015) Geocomputation – A Practical Primer. SAGE.Heywood, I; Cornelious, S. & Carver, S. (2011) An Introduction to Geographical InformationSystems. 4th Edition. Pearson, Harlow.De Smith, H.J.; Goodchild, M.F. & Longley, P.A. (2018) Geospatial Analysis: A ComprehensiveGuide to Principles, Techniques and Software Tools. Drumlin Security Ltd.Garson, G.D. & Biggs, R. S. (1992) Analytic Mapping and Geographic Database, Sage,Thousand Oaks, CA.Goodchild, M.F. (2018) Reimagining the history of GIS, Annals of GIS, 24:1, 1-8, DOI:10.1080/19475683.2018.1424737Graser A.; Mearns, B.; et al. (2017) QGIS: Becoming a GIS Power User. Packt Publishing.Miller, H.J. & Han, J. (2009) Geographic Data Mining and Knowledge Discovery. 2nd Edition. CRCPress, Boca Raton, FL.O’Sullivan, D. & Unwin, D.J. (2010) Geographic Information Analysis. 2nd Edition. John Wiley & Sons.Sherman, G. (2012) The Geospatial Desktop – Open Source GIS & Mapping. Locate Press,Williams Lake, BC.Ward, M.D. & Gleditsch, K.S. (2008) Spatial Regression Models. Sage, Thousand Oaks, CA.Wikle, C.K.; Zammit-Mangion, A. & Cressie N. (2019) Spatio-Temporal Statistics with R. Chapman &Hall/CRCWilson, J.P. & Fotheringham, A.S. (2008) The Handbook of Geographic Information Science.Journals:Those research and professional journals relevant to the student’s area of research.A range of journal papers and articles are provided through Moodle.Indicative Teaching and Learning Time (10hrs per credit):ActivityStudent/Tutor Contact Time:Lecture/Practical: 36 hoursStudent Learning Time:Practical: 36 hoursCoursework: 130 hoursEssay: 98 hoursTotal hours:300 hours 11Annex 2: Submission to Turnitin of Work Submitted for AssessmentTurnitin is an internet-based text matching service that has been developed by a commercialcompany. It is used, under license, by most UK Universities, including the University of EastLondon. Work that is submitted to Turnitin generates a Turnitin Originality report, showingwhich parts of it have been reproduced from which sources. The system comparessubmissions to material that is to be found: on the world-wide web; in its database ofprevious submissions; and in its growing number of databases of published articles. Youshould not assume that a Turnitin Originality report with a low similarity index is evidence thatthe piece of work concerned is free from plagiarism.Our policy on the use of Turnitin recognises the educational desirability that all of ourstudents should enjoy the opportunity to self-submit their work to Turnitin (before submittingfor assessment). We also recognise that Turnitin Originality Reports will sometimes assist inthe identification of plagiarised work submitted for assessment.Our policy provides that a Module Leader may decide, in accordance with the policy of theappropriate School, that all student submissions for a particular component of assessmentshould be submitted to Turnitin, provided that the relevant Module Guide includes a notice tothat effect.Notice is hereby given that all submissions for coursework of this Module must be submittedto Turnitin. Detailed guidance on how to submit your work to Turnitin can be found on thisModule’s Moodle site.If you fail to submit coursework, to Turnitin, in accordance with the guidance on the Moodlesite, you will be awarded a mark of 0 for the component.If you have any questions about Turnitin, you should visit the Turnitin module in UEL Moodleor go to https://www.turnitin.com. If you have any further questions, please contact UELCompliance Team.
