At the Penn Libraries, we can help you find, create, and analyze maps and geospatial data. As part of the Digital Scholarship team in the Teaching, Research, and Learning (TRL) division, we provide the following suite of services for all members of the Penn community and across all disciplines.
Consultation: GIS/Mapping consultations.
Training and workshops: regularly scheduled, on-demand, or tailored to a specific project need.
Services: value-added services such as geospatial data processing, analysis, and large-scale address geocoding.
Outreach: outreach activities through invited class presentations.
GIS-I: This is the first in a two-part series of Introductory GIS workshop using ArcGIS/ArcMap.
Description: In this workshop, you will learn: GIS data models and formats, explore the various components of ArcMap interface and tools, creating a new map, adding data layers, changing layer symbol and display properties, setting layer symbol and scale properties, creating map layouts with legends, titles, north arrows, and other map elements.
GIS-II: This is the second in a two-part series of Introductory GIS workshop using ArcGIS/ArcMap.
Description: In this workshop, you will learn: Creating features from coordinate tables, adding and joining tables, calculating a distance between features, selecting features by attribute and within a certain distance, learn about intersection and buffering tools, viewing and editing metadata.
Spatial Relational Database Management Systems
Description: A database management system is a mechanism that allows data to be stored in such a way that it becomes easy to organize, retrieve, manipulate, and secure the data. This workshop will introduce participants to the basics of Relational Database Management Systems (RDBMS) and its spatial extensions - PostGIS and SpatiaLite.
Building Geographic Heat Map
Description: A heat map is a two-dimensional representation of information with the help of colors. Heat maps are capable of displaying complex data in a simple visual format making them a useful tool for data analysis. In this workshop, you will learn how to create a heat map of densities based on values assigned to locations specified by latitude and longitude coordinates or other standard geographic location descriptors such as zip code, state, country, and region using various software tools.