Distance-based measures (developed as extensions of the basic Ripley’s K-function) are the tools of choice for model builders in testing the concentration of individual agents in the economic space. In many empirical cases, however, the datasets contain inaccuracies due to missing data or uncertainty about the locations of the agents. So far, little is known about the effects of these inaccuracies on the K-function. This paper aims at shedding light on the problem through a theoretical analysis supported by Monte Carlo experiments. The results show that patterns of clustering or inhibition may be observed not as genuine phenomena, but only as an artefact of data imperfections.

Arbia, G., Espa, G., Giuliani, D., Dickson, M. M., effects of missing data and locational errors on spatial concentration measures based on Ripley's k-function, <<SPATIAL ECONOMIC ANALYSIS>>, 2017; 2017 (1): 1-31 [http://hdl.handle.net/10807/97418]

effects of missing data and locational errors on spatial concentration measures based on Ripley's k-function

Arbia, Giuseppe
Primo
;
2017

Abstract

Distance-based measures (developed as extensions of the basic Ripley’s K-function) are the tools of choice for model builders in testing the concentration of individual agents in the economic space. In many empirical cases, however, the datasets contain inaccuracies due to missing data or uncertainty about the locations of the agents. So far, little is known about the effects of these inaccuracies on the K-function. This paper aims at shedding light on the problem through a theoretical analysis supported by Monte Carlo experiments. The results show that patterns of clustering or inhibition may be observed not as genuine phenomena, but only as an artefact of data imperfections.
Inglese
Arbia, G., Espa, G., Giuliani, D., Dickson, M. M., effects of missing data and locational errors on spatial concentration measures based on Ripley's k-function, <<SPATIAL ECONOMIC ANALYSIS>>, 2017; 2017 (1): 1-31 [http://hdl.handle.net/10807/97418]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10807/97418
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 9
  • ???jsp.display-item.citation.isi??? 8
social impact