Planning decisions are often idealized as being "evidence-based" or "data-driven." Spatial data often comprise the data and evidence that support such these decisions. In this course, you will learn how to create spatial datasets, both by assembling them from existing sources and by collecting data in the field. You will also learn data visualization techniques to identify spatial relationships within and between spatial datasets. You will learn to identify the arguments that...

Maps both represent reality and create it. It is in the context of this contention that this course presents the fundamentals of mapping, spatial analysis, and visualization. In a design process, the act of mapping selectively narrates site conditions. By choosing what features, forces, and flows to highlight—and which to exclude—the designer creates the reality in which their intervention will be situated.

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Planners today have access to unprecedented amounts of data on the built environment and the people who use it. These data come from a wide variety of sources ranging from traditional administrative data and survey data to emerging sources of passively-collected and crowdsourced data. By then end of this course, you will be able to confidently navigate unfamiliar datasets and create information that you can use to (1) improve your own understanding of places and spatial phenomena at the national, regional, and neighborhood scales and (2) communicate your ideas and conclusions to others....

Maps both represent reality and create it. It is in the context of this contention that this course presents the fundamentals of mapping, spatial analysis, and visualization. In a design process, the act of mapping selectively narrates site conditions. By choosing what features, forces, and flows to highlight—and which to exclude—the designer creates the reality in which their intervention will be situated.

...

Planners today have access to unprecedented amounts of data on the built environment and the people who use it. These data come from a wide variety of sources ranging from traditional administrative data and survey data to emerging sources of passively-collected and crowdsourced data. By then end of this course, you will be able to confidently navigate unfamiliar datasets and create information that you can use to (1) improve your own understanding of places and spatial phenomena at the national, regional, and neighborhood scales and (2) communicate your ideas and conclusions to others....