4/17/2024
4. General recommendation
Short presentation of literature review and notes on data collection
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4. Task 2
Prepare the first version of the literature review (LR)
• Read carefully notes from this presentation
• Look through recommended sources (internet, library, etc.)
• Design the type and structure of your literature review
• Write at least one paragraph for each section
Prepare short presentation (10 minutes] Deadline: April 10,
Possible content of the presentation:
Remind the title of Your thesis and the main aim What LR structure did you choose? What are the main sources of information? Approximately how many articles have you gone through? Present one paragraph as an example
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4. Data collection for Your diploma thesis		
	Geography is a synthetic science, in contrast to e.g.	
	Chemistry(-experimental science)	
	Primary and secondary data sources	
	•   Primary- Your fieldwork, measurements etc.	
	•  Secondary - already existing sources, databases	
	Qualitative and quantitative data (Quantitative and qualitative statistics)	
	Statistical methods are not the only methodology, however:	
	•   It is the way how to present Your data (results) in objective way	
O	•  The results of your data processing can be verified	
	•  The professional public will understand Your data analysis results	
e	•  A layman may not understand Your data analysis or may even	
	misinterpret them	
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4. Data collection for Your diploma thesis
Primary qualitative and quantitative data collection approaches have theirs own rules and recommended practices
Qualitative vs. Quantitative data.
Quantitative    Information tl
be measured and Surveys, tests,
s. This type of data existing databas scientific and exact.
httpsJ/pap erpile. cotn/gAlata -for-yc
Garbage in, garbage out
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4/17/2024
4. Data collection for Your diploma thesis
Exploratory Data Analysis (EDA)
• A summary of descriptive statistics methods that precede the actual statistical processing.
• Its goal is to verify some properties of the input data set, which are necessary prerequisites for the own statistical methods of processing.
• Exploratory analysis focuses on graphical and tabular representation of data
Example: Our task is to find out if there is a relationship between two variables
EDA result: Be careful, your data contains two distinct subsets ( Your data are not normally distributed)
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4. Data collection for Your diploma thesis
Exploratory Data Analysis (EDA) will tell you whether:
• Are there any peculiarities in your data?
• Does your data have missing or outliers?
• Does your data meetthe prerequisites for usingthe intended processing methods?
• Does your input data need to be transformed somehow?
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4. Notes about data collection
• Be in the permanent contact with Your supervisor
• Be clear about what data you will need
• Check data accessibility (w.r.t. quality, resolution, volume (big data), etc.)
• Check data readability (numerous formats)
• The necessary data processing requires suitable tools
• In particular, spatial data analysis tools (e.g. doing maps) are characterized by their specific data format requirements
• You will use data not only for analysis, but You will also need to present results of analysis (graphs, maps, ...)
• The composition of graphic outputs, such as the name, scale, legend, etc., are recommended to be processed according to knowledge from cartographic lectures and exercises.
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4. Task 3
Prepare a short overview about available data sources and about Your data collection
Prepare short presentation (10 minutes) Deadline: April 24,
Possible content of the presentation:
• What kind of data will you need?
• Will I have to create my own primary data or can I use existing sources?
• What is the data structure and format?
Do I know the tools with which I will be able to analyze the data?
• Show us an example of your data
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