A selection of sightsmap data is under the data folder:
- topspots_15K.js contains ca 15.000 top spots in the decreasing order of popularity.
- topspots_15K_extended.js contains ca 15.000 top spots in the decreasing order of popularity, corresponding exactly to the top spots in the previous file.
Fields in each sublist of topspots_15K_extended.js:
- country code
- type from wiki abstracts
- comma-separated list of tag candidate words
- geonames ID
- geonames type
- geonames type name
Example:
["IT", "capital", "square,tues,basilica,fountain,saint,mary,villa,peter,church,bridge,people,paul,john,san,way,building,port,hole,view,angel,plaza,museum,mountains,pedro,night,arc,hotel,spa,avenue,steps,monument,republic,national,santa,temple,island,course,station,park,novel,interior,old,stage,city", 3169069, "A.ADM2", "second-order administrative division"],
Fields in topspots_15K.js:
- title
- heatmap image file name in sightsmap, append to http://sightsmap.com/wpng/ like http://sightsmap.com/wpng/w2_1.png
- latitude
- longitude
- wiki name (1) or not (0)
- wikitravel (wikivoyage) page exists (1) or not (0)
- if not 0, then google places id (only if neither wikipedia nor foursquare data found)
- 0 or foursquare id (only present if foursquare found and either no wiki found or foursquare name matches wiki)
- foursquare top obj pop (usercount*coeff)
- foursquare usercount
- foursquare type
- foursquare category shorthand
- nr of foursquare places nearby (few km radius, lat+-0.02,lng+-0.04)
- population from geonames or 0 or missing if not found
Example:
["Rome", "w2_1.png", 41.9, 12.48, 1, 1, 0, 0, 160240.0, 16024, "Historic Site", "s", 1054, 2643736]