@misc{
 title = {A user-centered approach for designing and developing spatiotemporal crime analysis tools},
 type = {misc},
 year = {2010},
 source = {Extended Abstracts Volume, GIScience 2010},
 websites = {http://www.geovista.psu.edu/publications/2010/Roth_GIScience_10.pdf},
 publisher = {GIScience},
 city = {Zurich, Switzerland},
 id = {433e50d2-0aaf-371c-aaed-ec9a65ee1579},
 created = {2018-05-29T14:05:34.265Z},
 file_attached = {false},
 profile_id = {6d8d7993-9618-3f6c-983a-9f6761313797},
 group_id = {4f1d95d1-59ee-3ce8-85ce-055cfae2da74},
 last_modified = {2018-05-29T14:05:34.265Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {13907},
 source_type = {booklet},
 private_publication = {false},
 abstract = {Despite the potential for GIScience techniques to identify and explicate clusters and trends in crime, many police departments lack adequate analytical tools and training to explore and make sense of their crime incident datasets. This concern is particularly poignant in medium to small municipalities that are unlikely to have dedicated crime analysts on staff (Harries 1999). Here, we introduce GeoVISTA CrimeViz, a web-based map application that supports spatiotemporal exploration and sensemaking of criminal activity. The GeoVISTA CrimeViz concept provides understaffed departments with an extensible, easy-to-use tool for conducting spatiotemporal crime analysis and mapping. We are currently in the process of completing a user-centered approach to ensure that the tool \textquoterightworks\textquoteright for its intended audience; a description of this approach and work in progress is provided in the following subsections.},
 bibtype = {misc},
 author = {Roth, R E and Ross, K S and Finch, B G and Luo, W and Alan, M MacEachren}
}

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