CIS7030 – Geospatial Analysis | My Assignment Tutor

Page 1 of 10AY: 2020/21CIS7030 – Geospatial Analysis – 20 Credit HoursTerm 1Module Leader: Angesh AnupamAssessment BriefAssessment Title:Mapping Global GDPWRIT1 100 %HAND-OUT DATE: 2nd December 2020HAND-IN DATE: 22nd January 2021Page 2 of 10ContentsLearning Outcomes ……………………………………………………………………………………………………..3Assessment Requirements / Tasks (include all guidance notes) ………………………………………..3Assessment Criteria………………………………………………………………………………………………………………………….. 6Submission Details ………………………………………………………………………………………………………6Feedback ……………………………………………………………………………………………………………………6Marking Criteria ………………………………………………………………………………………………………….7Additional Information ………………………………………………………………………………………………..9Referencing Requirements (Harvard)…………………………………………………………………………9Mitigating Circumstances …………………………………………………………………………………………9Unfair Practice…………………………………………………………………………………………………………9Page 3 of 10Learning OutcomesThis assessment is designed to demonstrate a student’s completion of the following LearningOutcomes:• Demonstrate an understanding of concepts underlying geospatial analysis and applythem on real life data.• Carry out social analytics in combination with geospatial data, applying appropriatetechniques on social information.• Design, prototype and implement geospatial applications.• Identify and describe emerging technologies and research areas relevant to geospatialanalytics.Assessment Requirements / Tasks (include all guidance notes)1.1 Review on different techniques used for geospatial analysis and social mediainformation analysisPlease perform a detailed review on the following applications,– QGIS– Open Street Map– Twitter– GeoPandasYou are free to use the available resources (academic papers, articles, officialdocumentation etc.) for your research however the sources must be cited appropriately.Your review should cover the following aspects of each application,– Brief introduction– Functionality– Common use in different areas (business, social study, public health etc.)– Strengths and limitations1.2 Report on the importance of geospatial analysis in different areas and how these areasare benefiting from geospatial analysis.Among the prominent areas of applications for geospatial analysis – SustainableDevelopment, Public Safety, Health & Human Services, Transportation, and Educationchoose any THREE areas. You can find the details about these areas of applicationsthrough the URL, https://www.esri.com/en-us/industries/. Write a report, explainingcurrent state, what are the challenges, what solutions are available and the futuredirection.The solutions for the Task 1.1 and Task 1.2 MUST be presented in a single PDF document.Page 4 of 102.1 Apply geospatial visualisation tool (e.g. GeoPandas) on the dataset providedThis task requires you to use the two datasets (world population and world GDP) accessedfrom the World Bank. Both of these datasets are available on the Moodle under theAssessment folder. Use the GeoPandas or similar visualisation tool to plot a set ofchoropleth maps representing the world GDP per capita for the years 1995, 2005, and2015 respectively. This task requires you to use both the datasets simultaneously forcalculating the GDP per capita.The solution for this task should describe all the major steps taken for generating thechoropleth maps. If a Python based tool like GeoPandas is used then the solution shouldbe in a Jupyter notebook form (.ipynb), wherein all the functions, libraries and codingsteps should be explained in a lucid manner. In this case, the major steps for generatingthe choropleths would typically involve, importing the datasets using appropriate Pythonlibraries, data cleaning, geospatial operations, and plotting. The Jupyter notebook shouldbe able to reproduce the choropleth maps without any error. If some other non-Pythonbased visualisation tools are used, then the solution for this task should include a writtendescription about the major steps undertaken for generating the choropleth maps as wellas an appropriate number of supporting screenshots should also be presented.2.2 Analyse the datasets and answer specific questions. For plotting within this section, youcan use any visualisation tool.• For year 2015, plot the GDP per capita for only the countries having population greaterthan 300000000. Very briefly interpret the generated plot.• For year 2015, plot the GDP per capita for only the countries having population lessthan 70000000. Very briefly interpret the generated plot.• For year 2015, plot the GDP per capita for only the countries having gross GDPbetween 450000000000 US Dollar and 8920000000000 US Dollar. Very brieflyinterpret the generated plot.• What is the percentage change in the GDP per capita from 1995 to 2015, for thecountry having the highest population in 2015?• Plot the mean per capita GDP (from 1995 to 2015) of all the countries. Very brieflyinterpret the generated plot.• Present a correlation plot between mean population of each country and mean percapita GDP (from 1995 to 2015). Very briefly interpret the generated plot.NOTE: For the Task 2.2, all the geospatial plots can be presented using choropleth maps oreven using simpler heat maps. If a heat map is used for the visualisation then the countriesnames must clearly be visible on the plots.The solution for the Task 2.2 should be presented in a Jupyter notebook (.ipynb), if aPython based tool is used. All the functions, libraries and coding steps should be explainedin a lucid manner. The notebook should run without any error and all the results shouldeasily be reproducible. Your brief interpretation about the generated plots should also becontained in this Jupyter notebook. If some other non-Python based visualisation toolsare used, then the solution for this task should include a written description about thePage 5 of 10major steps undertaken for generating the plots as well as an appropriate number ofsupporting screenshots should also be presented.2.3 Social analyticsIn this task, you will apply sentiment analysis to Twitter data using the Python librariesTextBlob and Tweepy. Your analysis should cover the following major steps:• Get 500 tweets on the topic, #Lockdown or #CovidLockdown with a Python script.• Clean the tweets. Such as, removal of URLs from the tweets.• Calculate the polarity values of the individual tweets and present them using asuitable visualisation such as, histogram.• Analyse the public sentiments about the chosen topic (#Lockdown or#CovidLockdown) based upon the polarity values and make your recommendationabout any future lockdown measures based upon the performed analysis.The solution for the Task 2.3 should include a Jupyter notebook (.ipynb) describing all themajor steps performed during the analysis. All the functions, libraries and coding steps shouldbe explained in a lucid manner. The notebook should run without any error and all the resultsshould easily be reproducible. Your interpretation about the results and recommendation forany future lockdown measures should also be contained in this Jupyter notebook.Page 6 of 10Assessment Criteria Part 1: Review/Report35%1.1 Review on different techniques used for geospatial analysis and socialmedia information analysis.20%1.2 Report on the importance of geospatial analysis in different areas andhow these areas are benefiting from geospatial analysis.15%Part 2: Application/Implementation65%2.1 Apply geospatial visualisation application (e.g.GeoPandas) on thedataset provided.20%2.2 Analysing the dataset and answer specific questions.30%2.3 Social analytics.15% Submission DetailsPlease see Moodle for confirmation of the Assessment submission date.Submission will be by 4:00pm on the deadline day.Any assessments submitted after the deadline will not be marked and will be recorded as aNon-Attempt.The assessment must be submitted as a zip file document through the Turnitin submissionpoint in Moodle. All the separate file (.pdf/ .ipynb etc.) corresponding to the various tasks(Task 1.1, 1.2, 2.1, 2.2, and 2.3) must be merged together as a single zip file.Your assessment should be titled with your Student ID Number, module code and assessmentid, e.g. st12345678 CIS7030 WRIT1FeedbackFeedback for the assessment will be provided electronically via Moodle, and will normally beavailable 4 working weeks after initial submission. The feedback return date will be confirmedon Moodle.Feedback will be provided in the form of a rubric and supported with comments on yourstrengths and the areas which you can improve.All marks are preliminary and are subject to quality assurance processes and confirmation atthe Examination Board.Further information on the Academic and Feedback Policy in available in the AcademicHandbook (Vol 1, Section 4.0)Page 7 of 10Marking Criteria 70 – 100%(Distinction)A strong theme is developed. Well formulated structure. Very few mistakes.Clear well punctuated sentences. Writing style clear and informativewithout being verbose. Demonstrates an in depth understanding of thetechniques used for geospatial analysis, social media information analysisand importance of geospatial analysis in different areas. Evidence of widerange of appropriate, quality sources used, including appropriate academicjournals and books. Clear ability to evaluate quality of sources. Quotationsused appropriately and sparingly. All sources cited with no errors. Standardreferencing style used with no (or minimal) errors/omissions. Fully workingapplication that demonstrates excellent understanding of the Geospatialanalysis and social analytics techniques with excellent justification. Able toutilise geospatial analysis tools for plotting, analysing data, with an excellentunderstanding of modelling of real-world problems with social informationintegration.60-69%(Merit)A clear theme is developed. Well written, clearly designed, containingsome spelling mistakes. Demonstrates an understanding of the techniquesused for geospatial analysis, social media information analysis andimportance of geospatial analysis in different areas. Evidence of readingminimal amount of relevant publications (books/journals/web sites) ofappropriate quality. Shows some ability to evaluate quality of sources.Citations attempted; most sources cited appropriately in the text. Someerrors in use of standard referencing style. Fully working application thatdemonstrates a good understanding of the Geospatial analysis and socialanalytics techniques with a good justification. Able to utilise geospatialanalysis tools for analysing data, with a good understanding of modelling ofreal-world problems with social information integration.50-59%(Pass)Clear structure to work. Suggests some understanding of the techniquesused for geospatial analysis, social media information analysis andimportance of geospatial analysis in different areas. However, it isaccompanied with significant omissions. Some spelling mistakes. Basicsentence construction rules followed. Evidence of reading minimal amountof relevant publications (books/journals/websites). Some attempt made atevaluating quality of sources. Citations attempted; key sources cited; mayinclude some errors. Correct referencing standard attempted, but withmany errors. Clear message presented but contains errors that would havea significant impact. A working application that demonstrates someunderstanding of the geospatial analysis and social analytics techniques witha good justification. Able to utilise geospatial analysis tool for analysing data,with some understanding of modelling of real-world problems with socialinformation integration.40-49%(Narrowfail)Some structure to the work. Reasonable discussion of the techniques usedfor geospatial analysis, social media information analysis and importance ofgeospatial analysis in different areas. Mostly appropriate level of discussion,but significant errors and omissions. Numerous spelling mistakes in thereport. Contains some significant errors. Evidence of some research. Page 8 of 10 Sources mainly websites and/or class notes. Limited ability to evaluatequality of sources. Citations attempted; with errors/ omissions. Incorrectreferencing standard used, but with minor errors. A partially workingapplication that demonstrates some understanding of the Geospatialanalysis and social analytics techniques with or without justification. Able toutilise geospatial analysis tool for analysing data, with satisfactoryunderstanding of modelling of real-world problems with social informationintegration.0-39%(Fail)Unclear structure. Does not show full understanding of the issues. Writingstyle unclear. Many spelling/grammatical mistakes. Limited understandingor requirements. Missing or no evidence of research. Copyright restrictionsinfringed. Few or no sources cited in the text. Standard referencing style notused. Non-working or poor application that demonstrates littleunderstanding of the geospatial analysis and social analytics techniques withpoor justification. Not Able to utilise geospatial analysis tool for analysingdata, with little or no understanding of modelling of real-world problemswith social information integration. No learning outcomes are met in fullalthough there may be minimal attainment in relation to one or two. Page 9 of 10Additional InformationReferencing 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 CircumstancesIf you have experienced changes or events which have adversely affected your academicperformance on the assessment, you may be eligible for Mitigating Circumstances (MCs). Youshould 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 thefollowing link to the MCs DashboardApplications for MCs should ideally be submitted as soon as possible after circumstancesoccur & at the time of the assessment. Applications must be submitted before the relevantExamination Board.Further information on the Mitigating Circumstances procedure is available in the AcademicHandbook (Volume 1, Section 5)Unfair PracticeCardiff Metropolitan University takes issues of unfair practice extremely seriously. TheUniversity has distinct procedures and penalties for dealing with unfair practice inexamination or non-examination conditions. These are explained in full in the University’sUnfair 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 wordsor ideas and submitting them for assessment as though it were one’s own work, for instanceby 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, whichquotations have not been clearly identified as such by being placed in quotation marksand acknowledged.• Use of another person’s words or ideas that have been slightly changed orparaphrased to make it look different from the original.• Summarising another person’s ideas, judgments, diagrams, figures, or computerprogrammes without reference to that person in the text and the source in abibliography or reference list.• Use of services of essay banks and/or any other agencies.• Use of unacknowledged material downloaded from the Internet.Page 10 of 10• 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 issubmitted and passed off as solely the work of one person. An example of this would be whereseveral students work together on an assessment and individually submit work whichcontains sections which are the same. Assessments briefs will clearly identify where jointpreparation 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 otherway.

QUALITY: 100% ORIGINAL PAPER – NO PLAGIARISM – CUSTOM PAPER

Leave a Reply

Your email address will not be published.