Geo-Visualization Lecture Notes PDF
Document Details
Uploaded by IndebtedOboe
Wageningen University & Research
Tags
Summary
These lecture notes cover visual hierarchy in maps, different types of data (qualitative and quantitative), measurement scales, and the MSU color system. They also discuss geo-visualization, including its processes and integration of various disciplines. The notes explore how viewers perceive elements of a map as a whole.
Full Transcript
# Visual Hierarchy Bertin's Theory - About the relationship between the type of data we have and the type of symbols that we want to use to represent the data in the map ## Measurement Scale * **Qualitative (categorical)** * Nominal data: Categories (no ordering) * Gender, race, landf...
# Visual Hierarchy Bertin's Theory - About the relationship between the type of data we have and the type of symbols that we want to use to represent the data in the map ## Measurement Scale * **Qualitative (categorical)** * Nominal data: Categories (no ordering) * Gender, race, landform. * Ordinal data: Ordered categories (ranking) * School grades, worldwide. * Interval data: Difference between measurements * Temperature, year. * **Quantitative/numerical** * Ratio Data: Difference between measurements but "true zero" existing * Age, height, speed ## MSU Color System * **Hue** * **Chroma (intensity)** is the saturation of a colour * **Value** is diff in white to the darkest version of a specific colour ## Qualitative data: use primarily HUE ## Quantitative data: use CHROMA / VALUE (lightness) * Choropleth, thematic map. # Lecture 6: Geo-visualization ## Visualisation * Construction of a visual image in the mind. * Refers to a process. It's a series of transformations that convert raw simulations data into displayable images to convert the information to a format understandable by the human perceptual system. * Graphical representation of data or concepts * Can be described as a loosely bounded domain that addresses the visual exploration, analysis, synthesis and presentation of geospatial data by integrating approaches from cartography with those from other information representation and analysis disciplines, including scientific visualization, image analysis, information visualization, exploratory data analysis and GIS. ## Gestalt Effect * In cartography, the way in which a viewer perceives all of the elements of a map as a unified whole.