Slides for Lecture 03 of the Saint Louis University Course Introduction to GIS. These slides introduce the Git as well as some principles for cartographic design and working with color.
(https://slu-soc5650.github.io/docs/lecture-03/) Log into the desktop (unless you are using your own laptop) and make sure you know where the ArcGIS Pro icon is. If you have not already done so, sign in to ArcGIS Pro as well! WELCOME! GETTING STARTED Make sure you have the Lab-01 materials are on your Desktop! Download and install GitHub Desktop: https://desktop.github.com
1. Front Matter 2. Analysis Development 3. Some Basic Cartographic Concepts 4. Cartographic Design 5. Working with Color 6. Types of Maps 7. Back Matter
5650 written portion. This week’s goal - pick a data set and pick a topic, and submit WP-01. There will be a lab, Lab-02, due next Monday along with another check-in - eTicket-04. Lab-01 and eTicket-03 were both due today! WELCOME! GETTING STARTED
you keep different versions of files as your assignment or project progresses? ▸ If you needed your files in 5 years, could you find them? ▸ If you needed your files in 5 years, could you open them? ▸ Do you backup files ever? ▸ If your house was robbed or burned down, would your backup also be destroyed? 4. ANALYSIS DEVELOPMENT
you keep different versions of files as your assignment or project progresses? ▸ If you needed your files in 5 years, could you find them? ▸ If you needed your files in 5 years, could you open them? ▸ Do you backup files ever? ▸ If your house was robbed or burned down, would your backup also be destroyed? 4. ANALYSIS DEVELOPMENT Git & GitHub can help you address all of these key questions/issues!
one course directory structure, saved on an external device. 2. Commit changes early and often. 3. Use ArcGIS Projects for all work requiring ArcGIS. 4. Use R Projects for all work requiring R. 5. Always use the same project directory structure. 6. Write notebooks for humans, not computers. 4. ANALYSIS DEVELOPMENT
singular, as if they were one file on our computer. That is how ArcGIS sees them. Our computer sees things differently, however: data.shp (geometry) data.shx (shape index) data.dbf (attributes) data.sbn (spatial index) data.sbx (spatial index) data.shp.xml (metadata) data.cpg (character encoding) data.prj (projection)
of shapefiles, and may contain a large number of feature classes. cityData.gdb Boundary_City Demographics_Tracts Hydro_MajorLakes Hydro_MajorRivers PublicSaftey_PoliceStations PublicSaftey_FireStations Trans_Interstates Trans_StreetCenterlines
important graphic elements (features) ▸ Important features are known as “figure” ▸ Assign drab colors to the graphic elements that provide orientation or context ▸ Contextual features known as “ground” 4. CARTOGRAPHIC DESIGN VISUAL CONTRAST All features in figure Circles in figure, squares and lines in ground
be in? ▸ Should different layers be given greater or more limited visual emphasis? ▸ For thematic maps, the data should have the emphasis rather than the geographic features of the map itself
• Warm colors in the foreground will stand out and draw attention ▸ Cool colors are associated with relaxation and calming • Cool colors recede into background 5. WORKING WITH COLOR TEMPERATURE Warm Cool
Cyan Magenta Yellow ▸ Additive color model - red, green, and blue light are combined to generate various hues by producing light ▸ Secondary hues of yellow, magenta, and cyan ▸ Hues are specified by coordinates for each primary color that range from 0 to 255 ▸ Used for specifying colors to be displayed electronically
model - red, green, and blue light are combined to generate various hues by producing light ▸ Secondary hues of yellow, magenta, and cyan ▸ Hues are specified by coordinates for each primary color that range from 0 to 255 ▸ Used for specifying colors to be displayed electronically Red Green Blue Red Green Blue
reference maps and working with ground layers: • use ColorHexa’s Colorblindness simulator • use variation in weight and pattern instead of color variation ▸ When making choropleth maps: • select accessible palettes from ColorBrewer or viridis • Test maps in R using colorblindr (this is not required for class) ▸ Remember - accessible design is good design!
.95 p < .90 no sig. p < .90 p < .95 p < .99 hot spot cold spot Hotspot Analysis (Inferential Map) Choropleth Map (Thematic Map) MAPPING MURDERS IN ST. LOUIS, ’08-‘15
everything except the SOC 5650 written portion. This week’s goal - pick a data set and pick a topic, and submit WP-01. There will be a lab, Lab-02, due next Monday along with another check-in - eTicket-04.
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