@book{
 title = {Connecting a Digital Europe Through Location and Place},
 type = {book},
 year = {2014},
 source = {Lecture Notes in Geoinformation and Cartography},
 identifiers = {[object Object]},
 keywords = {City comparison,Geo-visualization,Similarity measure},
 pages = {363-382},
 websites = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84924711285&partnerID=tZOtx3y1},
 publisher = {Springer International Publishing},
 city = {Cham},
 series = {Lecture Notes in Geoinformation and Cartography},
 editors = {[object Object],[object Object],[object Object]},
 id = {35746b0b-a51c-34fc-bfd1-6e3b483a140d},
 created = {2016-03-16T14:56:57.000Z},
 accessed = {2016-03-16},
 file_attached = {false},
 profile_id = {0a9a0ca7-e30a-305c-9a1e-1cc541ed5c45},
 group_id = {378eded2-9912-3700-bd6d-56be53368f0b},
 last_modified = {2016-03-16T14:56:57.000Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 abstract = {In many city comparisons and benchmarking attempts, scores are purely one-dimensional with results split accordingly for each dimension. We propose a methodology for comparing cities on multiple dimensions implemented as a mapcentric web tool based on a pairwise similarity measure. CityBench web tool provides a quick-scan geographical exploration of multidimensional similarity across European cities. With this dynamic method, the user may easily discover city peers that could face similar risks and opportunities and consequently develop knowledge networks and share best practices. This web tool is destined to provide economic/ financing institutions’, local governments’ and policy makers’ in Europe and beyond decision making support.},
 bibtype = {book},
 author = {Kalinaki, Elizabeth and Oortwijn, Robert and Huertas, Ana Sanchis and Dias, Eduardo and Díaz, Laura and Ottens, Steven and Blankert, Anne and Gould, Michael and Scholten, Henk}
}

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