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A LARGE SCALE CLASSIFICATION OF PUBLIC SPACES USING A STUDY OF PERCEPTION AND PUBLIC DATA FROM INEGI OF THE CITY OF PUEBLA, SAN PEDRO CHOLULA AND SAN ANDRES CHOLULA
2019
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Abstract. This work aims to create a methodology to automatize the classification of public spaces using a perception test and data obtained from city census information, in our case, from the Mexican National Institute of Statistics and Geography (INEGI). Nowadays there is no well defined process in decision making when planning the creation or development of public spaces. For this reason, a study to measure the human perception was made in order to gather data about what people perceived
doi:10.5194/isprs-annals-iv-4-w9-95-2019
fatcat:okpjlc2swrethdcsn453wsyy3y