| dbmss-package {dbmss} | R Documentation |
Distance Based Measures of Spatial Structures
Description
Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, including classical ones (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on spatstat for some core calculation.
Author(s)
Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech
Maintainer: Eric Marcon <Eric.Marcon@agroparistech.fr>
References
Marcon, E., and Puech, F. (2003). Evaluating the Geographic Concentration of Industries Using Distance-Based Methods. Journal of Economic Geography, 3(4), 409-428.
Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. Journal of Economic Geography 10(5): 745-762.
Marcon, E., Puech F. and Traissac, S. (2012). Characterizing the relative spatial structure of point patterns. International Journal of Ecology 2012(Article ID 619281): 11.
Lang G., Marcon E. and Puech F. (2014) Distance-Based Measures of Spatial Concentration: Introducing a Relative Density Function. HAL 01082178, 1-18.
Marcon, E., Traissac, S., Puech, F. and Lang, G. (2015). Tools to Characterize Point Patterns: dbmss for R. Journal of Statistical Software. 67(3): 1-15.
Marcon, E. and Puech, F. (2017). A typology of distance-based measures of spatial concentration. Regional Science and Urban Economics. 62:56-67.