A Tag Cloud-based Visualization for Geotagged Text Information

With the wide application of Internet,there is more and more geotagged text information.Nevertheless,such data is currently browsed in Geographical information systems through externallinks,requiring frequent zooming,panning,and click operations.Meanwhile,other methods can noteffectively express spatial relationships.A tag cloud mapping method—a tag cloud-based visualizationfor geotagged text information is presented in this paper.We provide an overall implementationprocess for the method and design and implement a prototype based on the real-life data sets of Ten-cent Microblog.We focus on designing cartogram algorithms for point and polygon features,the ex-traction of keywords and frequency and the display rule models for different scales and different timesin the label placement algorithms.This method can help users rapidly make sense of the importantconcepts and grasp main features and developing trends in a large amount of geotagged text informa-tion.