Understanding industrial clustering and its patterns of development are important steps in
linking regional policy development, strategic decision making, business site management,
and fostering a country's economic growth. A considerable variety of common location-
based cluster measures are available in practice, including area-based measures and a
variety of indicators based on analyses of point data. This study uses the geostatistical
approaches kernel density, multi-distance Reply'sK, and spatial autocorrelation, both global …

Understanding industrial clustering and its patterns of development are important steps in
linking regional policy development, strategic decision making, business site management,
and fostering a country's economic growth. A considerable variety of common location-
based cluster measures are available in practice, including area-based measures and a
variety of indicators based on analyses of point data. This study uses the geostatistical
approaches kernel density, multi-distance Reply'sK, and spatial autocorrelation, both global …