Geospatial Analysis and Social Analytics Review

Learning Outcomes

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

• Demonstrate an understanding of concepts underlying geospatial analysis and apply them on real life data.

• Carry out social analytics in combination with geospatial data, applying appropriate techniques on social information.

• Design, prototype and implement geospatial applications.

• Identify and describe emerging technologies and research areas relevant to geospatial analytics.

Review on different techniques used for geospatial analysis and social media information analysis Please perform a detailed review on the following applications,

- QGIS

- Open Street Map

- Twitter

- GeoPandas

You are free to use the available resources (academic papers, articles, official documentation 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 limitations

Report on the importance of geospatial analysis in different areas and how these areas are benefiting from geospatial analysis.

Analyse the datasets and answer specific questions. For plotting within this section, you can 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 less than 70000000. Very briefly interpret the generated plot.

• For year 2015, plot the GDP per capita for only the countries having gross GDP between 450000000000 US Dollar and 8920000000000 US Dollar. Very briefly interpret the generated plot.

• What is the percentage change in the GDP per capita from 1995 to 2015, for the country having the highest population in 2015?

• Plot the mean per capita GDP (from 1995 to 2015) of all the countries. Very briefly interpret the generated plot.

• Present a correlation plot between mean population of each country and mean per capita GDP (from 1995 to 2015). Very briefly interpret the generated plot.

Social analytics

In this task, you will apply sentiment analysis to Twitter data using the Python libraries TextBlob 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 a suitable visualisation such as, histogram.

• Analyse the public sentiments about the chosen topic (#Lockdown or #CovidLockdown) based upon the polarity values and make your recommendation about any future lockdown measures based upon the performed analysis.

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 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.