Dear Sam,

When integrating your survey data into ArcMap without precise participant location within neighborhoods, consider representing the information using polygons instead of points by aggregating data at the neighborhood level and associating values with corresponding polygons through a common identifier. For your second inquiry, given the categorical nature of your variables, potential spatial analysis methods include choropleth mapping for visualizing category distributions, hotspot analysis to detect clusters, and spatial autocorrelation to assess spatial dependence. Additionally, explore regression analysis to understand relationships between your categorical variables and socio-economic factors like average income, population density, and average family size within each neighborhood. These methods offer insights into spatial patterns and relationships within your survey data.

Hamble Regards,

Thank you so much, appreciate your help Brook Legese Dadhe

You can connect via xls and postgre.sql. using attribute tabble for basic. Make sure the spatial data is vector data type.

Geoprocessing tool is one of the solution. Make sure you understand your need. You may need to perform intersection, dissolve, or union for the basis.

-Rifqi Fadhil (digilib.itb.ac.id)