Multi-factor dataset for classifying undeveloped land-price movements in Bangkok using RII-ranked spatial, regulatory, and economic attributes

Description

This dataset contains 4,960 observations describing undeveloped land in Bangkok, Thailand, from 2014 to 2023. It includes 33 physical, spatial, regulatory, accessibility, amenity, and macroeconomic attributes, together with a three-class target variable representing an increase, unchanged movement, or decrease in land price using a ±1% threshold. The repository also contains anonymized expert questionnaire data from 320 real estate and valuation professionals, Relative Importance Index scores, variable definitions, coding schemes, summary statistics, and model-ready files.

Institutions

• Mahasarakham University

  Maha Sarakham, Maha Sarakham

Categories

Licence