I have a cleaned set of demographic point data and I need it transformed into meaningful, predictive maps. Using ArcGIS (Desktop or Pro), I want you to run a full geostatistical workflow—variogram modelling, kriging (or the most suitable interpolator), cross-validation and accuracy reporting—to reveal and visualise the underlying spatial patterns. The ultimate goal is to understand where demographic concentrations are likely to rise or fall across the study area so that I can guide planning decisions with confidence. Your experience with the Geostatistical Analyst and Spatial Analyst toolsets will be crucial. If you normally script parts of the process in ModelBuilder or Python/ArcPy, feel free, as long as the chain of steps is documented inside the project. Deliverables • ArcGIS project or layer package containing all geostatistical layers and models • High-resolution map exports (PDF/PNG) showing predicted surfaces and error/standard deviation maps • A short methods note outlining the parameters chosen and validation statistics I will provide the raw demographic shapefile/CSV and the study-area boundary as soon as we start.