maps
Advanced Python Programming for GIS
Credit: Jan Oliver Wallgrun, © Penn State University, (CC BY-NC-SA 4.0)
Resource Description
In GEOG 489, you will learn advanced applications of Python for developing and customizing GIS software, designing user interfaces, solving complex geoprocessing tasks, and leveraging open source. The course consists of readings, walkthroughs, projects, quizzes, and discussions about advanced GIS programming concepts and techniques, and a final term project. It complements the material covered in GEOG 485: GIS Programming and Customization. Software covered in the course includes: Esri ArcGIS Pro/arcpy, Jupyter Notebook, Esri ArcGIS API for Python, QGIS, GDAL/OGR. Students will also make use of the Git version control software for code management, and learn techniques for distributing Python applications to end users. Learn moreCartography and Visualization
Maps by VIVIANE6276 is licensed under CC0
Resource Description
Maps are powerful visual tools, both for communicating ideas and for facilitating data exploration. In GEOG 486: Cartography and Visualization, you will learn design principles and techniques for creating maps with contemporary mapping tools, including ArcGIS Pro. In this lab-focused course, you’ll apply cartographic theory to practical problems, with a focus on design decisions such as selecting visual variables, classifying and generalizing data, applying principles of color and contrast, and choosing projections for maps. You will also be introduced to future-focused application topics such as augmented and virtual reality, mapping with multivariate glyphs, the visual depiction of uncertainty, interactive geovisualizations and (geo)visual analytics, and decision-making with maps and mapping products. Successful completion of this course will signify mastery in map production for communication and research; you will be practiced in making, analyzing, critiquing, and sharing high-quality maps.
Learn moreMapping our Changing World
Credit: Space Station Flyover of Super Typhoon Noru by NASA is Public Domain