An overview of different data types and methods for urban land use analysis Renato Andrade 1,2 renatoandrade@dei.uc.pt Ana Alves 1,2 ana@dei.uc.pt Carlos Bento 1 bento@dei.uc.pt 1 CISUC, Centre for Informatics and Systems, University of Coimbra, Polo II, 3030-290 Coimbra, Portugal 2 Coimbra Institute of Engineering, Polytechnic Institute of Coimbra, 3030-199 Coimbra, Portugal Abstract Modern planning and management of urban spaces is an essential topic for smart cities and depends on up-to-date and reliable information on urban land use. In the last years, driven by increased availability of geo- referenced data from social or embedded sensors and remote sensing (RS) images, various methods become popular for land use analysis. This paper addresses the various methods that are employed in this context, as well as data types needed for these techniques. From our study we concluded that even using the same methods and the same kind of datasets, results depend on spatial configuration of the data, accordingly to the specificity of each region. The work described in this paper is intended to provide relevant contributions to the selection of methods for knowledge discovery for city planning and management. 1 Introduction With the recent and rapid development of cities, concerns with sustainability opened a new way for an essential field in recent studies: smart growth. It is an effort for better management of natural resources, by reducing and controlling its consumption [S + 16]. The needs for urban land use planning and efficient management of urban areas have evidently become important [L + 17]. These points are directly connected with the design and development of smart cities, converging to a common objective, which attempt to create a high quality of life for people in a more sustainable world. With attentions focused on urban spaces, land use analysis become essential. Urban spaces have also gained focus because of issues related to urban expansion, hazard and pollution analy- sis, traffic control, well-being, population activity monitoring, construction projects, environmental preservation, economic analysis, as well as public health care and others topics. These subjects need essentially fine-grained maps to design and manage the work [L + 17, Z + 17b]. However, as urban areas change, maintaining maps and information about infrastructures and functional zones up-to-date is a challenge that research teams and public administration face daily, given the complexity of modern urban systems [Z + 17b, Z + 17a]. 2 Data and methods for urban land use analysis In this field, many methods can be applied based on different data types. An important task for researchers is to improve the results generated by these techniques. The integration of features extracted from various data types can to some extent show better results. We analysed a set of studies published in the last 5 years, identifying 16 different data types, as we can see in table 1, and 26 different methods as showed in table 2. Copyright c  2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). 1