![geodist map geodist map](https://cristian.regolo.cc/images/100.png)
: 65.70 R > R > PCTUNIVDEG HHMEDINC PCTUNEMP PCTNOHINS R > Min. # Select variables for feature dissimilarity organized into three groups: # demographic features # socio-economic features # housing infrastructure features # Calculate additional features tractShp $PRE1960 PCTWHITE PCTBLACK PCTHISPAN MEDAGE R > Min.
![geodist map geodist map](https://blogs.sas.com/content/graphicallyspeaking/files/2020/01/magnetic_north_pole_final-250x300.png)
characteristics of the housing and rental stock as well as occupancy,.
![geodist map geodist map](https://communities.sas.com/legacyfs/online/4049_gmap5.png)
However, maintain a balance between the socio-economic, demographic and infrastructure themes. Include additional features of the census tracts to the analysis.It performs hierarchical cluster analysis using the Ward parametrization of the Lance & Williams algorithm under an imposed spatial contiguity constraint. The package “ClustGeo” is the workhorse of this analysis. The objective of this prototype cluster analysis it to perform unsupervised learning to identify distinct and homogeneous market areas in Dallas County with respect to theirĬharacteristics of the underlying census tracts.