Urban Planning and Spatial Analysis
This free online course teaches you the diverse aspects and techniques of spatial analysis in regards to urban planning.
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CertificationView course modules
This free online course on Geo Spatial Analysis in Urban Planning, teaches the fundamentals of spatial analysis and how to solve problems that arise in regards to urban planning. You will study the sources of the various data such as sensors, manual observations, questionnaire surveys and how this data is collated in a digital format as a database to perform the GIS data analysis.
Next, you will learn about vector data analysis and how vector models use points, the coordinates of the points, lines and polygons. These are used as input for modeling or any sort of analysis using these vector features. You will study the different ways of doing pattern analysis; what happens when the values are different, whether patterns can be identified, and how the patterning is done at a global level or local level.
Finally, you will learn about Raster Data Analysis which is continuous data analysis; and how it compares to Vector Data Analysis which is a discontinuous data set. This course also covers spatial analysis methods and the uses of vector and raster data analysis. This course is a valuable learning model that introduces you to the exciting world of urban planning and spatial analysis. Start the course today to uncover all the intricacies involved in understanding all the steps that go into urban planning.Start Course Now
Introduction to Spatial Analysis
Introduction to Spatial Analysis - Learning Outcomes
Methods of Spatial Analysis
Vector Data Analysis
Raster Data Analysis
Raster Operations, Terrain Visualisation & Classification
Introduction to Spatial Analysis - Lesson Summary
Upon successful completion of this course, you should be able to:
- Outline the different types of data analysis techniques and the areas where they can be applied.
- Explain the different aspects of vector data analysis.
- Compare vector data analysis and raster data analysis.
- Discuss map algebra.
- Understand reclassification in the context of GIS data.
- Explain the different aspects of raster data operations.
- Discuss operations for visualising and analysing terrain.
- Distinguish between the classification approaches of raster data.
All Alison courses are free to enrol, study and complete. To successfully complete this Certificate course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Certificate course, you have the option to acquire an official Certificate, which is a great way to share your achievement with the world. Your Alison Certificate is:
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