PROJECT Generating Personalized Spatial Analogies for Distances and Areas 1) scales2015_master_final.csv DEMENSIONS This is a file of containing information of all landmarks that we use in the project. id: id that we assigned name: name of landmark latitude: latitude of the landmark longitude: longitude of the landmark city: city that the landmark is located state: state that the landmark is located flickrCount: total count of photos from flickr areaLandmark: 1 - area landmark 0 - non area landmark osmid: assigned OpenStreetMap id if the landmark is areaLandmark. If you want to get polygon information, you can use this id to get the polygon by using OSM api(http://wiki.openstreetmap.org/wiki/Osmapi) 2) results_energy_functions.pdf In this file, we presented top five personalized spatial analogies produced by our approach for seven university locations (University of Washington, University of California, Berkeley, Columbia University, Massachusetts Institute of Technology, Carnegie Mellon University, University of Michigan, Georgia Institute of Technology) listing a set of distance and area targets respectively. We generated tables for a range of distance and area inputs and users' locations, but where each term in the energy function is turned off at a time. AUTHORS Yea-Seul Kim / iSchool / University of Washington / email@example.com Jessica Hullman / iSchool / University of Washington / firstname.lastname@example.org Maneesh Agrawala / Computer Science Department / Stanford University / email@example.com Please send an email to firstname.lastname@example.org if you have any question.