This paper puts forward a GIS-leading test framework for the exploratory evaluation of organic agriculture and tourism combination development potential in Urumqi. Instead of making the claim of parcel-level place optimization, this study puts together a district-level approximate geodatabase and assesses candidate regions via a repeatable working flow that unites AHP-entropy weight methods, standardized spatial indexes, weighted superposition, and random-forest-based reliability explanation. Fourteen indexes are divided into five aspects: ecology foundation, agriculture foundation, tourism attraction ability, market-logistics guarantee, and current leisure-agriculture gathering degree. Under the proxy system we have adopted, Urumqi County has the strongest composite screening score, then comes Dabancheng and Xinshi, therefore Tianshan and Shayibake are still the least suitable, because the dense urban functions do not have matching sufficient production space. The tree-based analysis is used only to interpret variable importance and does not constitute a predictive validation model. Sensitivity tests indicate that the top-ranked tier is stable across alternative weighting scenarios, whereas the relative order of tourism- and market-oriented districts varies more noticeably. The main contribution is therefore methodological: a transparent pilot decision-support workflow for comparing administrative units when detailed parcel-level organic-farm inventories are not yet available.
