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Metropolitan Architecture and Land Use Forecasting Data
Comodities & Real Estate
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About
Analysing the physical and structural attributes of the built environment is a cornerstone of modern real estate valuation and urban development. By capturing specific metrics such as surrounding area, height, and age, these records enable stakeholders to quantify factors that influence asset pricing and land use. This resource bridges the gap between architectural details and economic forecasting, providing a detailed foundation for predicting building values and optimising metropolitan planning.
Columns
- Area: The measurement of the surrounding space or plot size related to the building.
- Height: The vertical measurement of the structure from ground level.
- Age: The total number of years since the building was originally constructed.
- Num_Floors: The total count of levels or storeys contained within the structure.
- Location: A numerical encoding representing the specific geographical area or zone where the building is situated.
- Material: An encoded value identifying the primary construction material used for the building.
- Label: The target variable or predicted classification value associated with the asset.
Distribution
The information is delivered in a CSV file titled building_dataset.csv with a compact file size of 18.49 kB. It consists of 1,000 valid records structured across 7 distinct columns, maintaining 100% data integrity with no missing or mismatched entries reported. The collection is designed for frequent updates, with a planned weekly refresh cycle to incorporate new building information.
Usage
This resource is ideal for developing machine learning models aimed at predicting property values based on physical and structural characteristics. It is well-suited for urban planners to simulate density scenarios and for real estate analysts to identify market trends across different building types. Additionally, researchers can utilise the encoded location and material data to study how construction choices correlate with asset longevity and valuation.
Coverage
The geographic focus of the collection is centred on Asia, providing insights into the regional architectural and developmental landscape. The data spans a diverse range of building ages and sizes, from single-storey units to multi-floor structures. While specific location names are encoded for analysis, the scope is intended to represent a broad spectrum of the built environment within the specified continent.
License
CC0: Public Domain
Who Can Use It
Urban planners can leverage these records to inform zoning regulations and infrastructure development. Real estate developers might utilise the price prediction labels to assess the viability of new construction projects. Furthermore, data scientists and researchers in the field of architectural informatics can find this a valuable primary source for training regression models and exploring the impact of structural variables on market dynamics.
Dataset Name Suggestions
- Asian Urban Infrastructure and Building Valuation Index
- Structural Asset Metrics for Real Estate Price Prediction
- Asia Building Attributes and Construction Material Registry
- Metropolitan Architecture and Land Use Forecasting Data
- Physical Building Characteristics and Price Classification Archive
Attributes
Original Data Source: Metropolitan Architecture and Land Use Forecasting Data
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Download Dataset in CSV Format
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