GIS: Research Methods
Book information
Description
What is GIS? provides a non-technical overview of the science and tools behind geographic information systems and geographic information science for researchers, students and academics who do not have a GIS or Geography background. The book covers the history of GIS, from John Snow’s Cholera map (1854) right up to today's software and data and cutting-edge analysis techniques. Bearman goes on to cover how to find, use and evaluate the latest data sets to critiquing existing maps, highlighting limitations and common mistakes. A variety of different GIS methods including Google maps, GPS, big data, context and choropleth maps are discussed and the pros and cons of each are highlighted allowing you to choose the appropriate method or piece of software for your own research. This is the ideal book for anyone thinking about using GIS in their own research. Title Page Copyright Page Contents Illustrations Figures Tables Series editor’s foreword Acknowledgements Introduction Chapter 1: Using GIS in social science Chapter objectives What is GIS? What is social science? John Snow’s cholera map Use of GIS in social science: What can and cannot be done Criticisms of GIS and responses The data divide Ethics and privacy Software developments Summary Chapter 2: The history of GIS Chapter objectives GIS ‘pre-history’ GIS early days – natural resource management GPS and GNSS Google Earth GIS and big data Summary Chapter 3: Creating maps Chapter objectives Map types and variables Context maps Choropleth maps Using rate data Summary Chapter 4: Cartography Chapter objectives What makes a good map? Do you even need a map? The message of your data Key elements on a map Map hints and tips Chapter 5: How is spatial data structured? Chapter objectives Storing spatial data Projections Coordinate systems Files, databases and APIs Which method to use? Summary Chapter 6: Spatial data analysis Chapter objectives Descriptive maps MAUP and the ecological fallacy Spatial statistics Spatial overlays Spatial analysis Summary Chapter 7: GIS software Chapter objectives Types of GIS software Web mapping Desktop GIS: QGIS and ArcGIS Coding GIS: R and Python Summary Chapter 8: Next steps Chapter objectives Next steps for GIS Learning by doing Web mapping Desktop GIS Coding GIS File management Troubleshooting Focus on the data Key aspects to remember Glossary References Index
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