Today, the growing use of remote sensors, crowd-sourced data collection, advances in geographic information systems and related analytic techniques, along with inexpensive data storage and the decreased cost of computational resources, have led to enormous quantities of geospatial data being collected across many disciplines ranging from business to science to engineering (Jiang and Shekhar 2017) and (Shekhar et al. 2015).  In addition, as the understanding that geospatial, or locational, data has value for many organizations, the focus on this special type of data has also increased.  SIGGIS is interested in examining the many opportunities presented by this special type of data.

Jiang, Z., and Shekhar, S. 2017. “Spatial Big Data,” in Spatial Big Data Science: Classification Techniques for Earth Observation Imagery, Z. Jiang and S. Shekhar (eds.), Cham: Springer International Publishing, pp. 3–13. (https://doi.org/10.1007/978-3-319-60195-3_1).

Shekhar, S., Feiner, S. K., and Aref, W. G. 2015. “Spatial Computing,” Commun. ACM (59:1), pp. 72–81. (https://doi.org/10.1145/2756547).

Scope and Mission

  • The scope of SIGGIS is to discuss, develop ideas and promote research, stimulate curriculum and teaching, and dialogue on the role of spatial information systems, technologies and concepts, as applied to management of information systems, business intelligence (BI), decision support systems (DSS), and knowledge management (KM).

  • The mission of SIGGIS is to be a forum that brings together members of AIS. Although there is considerable research on GIS technology and geographic information science, there has been relatively little research in management of spatial information systems, and spatial-based business intelligence, DSS, and KM. SIGGIS will address gaps that involve the GIS and spatial aspects of these knowledge areas and incorporate the expertise the IS discipline can bring to bear on them.