Methodology of Digitisation 

Methodology of Digitisation

The methodology for digitizing real estate in Islamabad follows a meticulous step-by-step roadmap to ensure accuracy and reliability.

Acquisition of Layout Plans

The first step in PropSure’s digitization process of real estate in Islamabad is acquiring layout plans. These plans serve as the foundational documents that outline the spatial arrangement of properties, streets, and infrastructure within a given area. Typically, these plans are obtained from municipal authorities, land development agencies, or private developers. Propsure ensures that these plans are acquired in both digital and physical formats to facilitate the subsequent steps of the digitization process.

Georeferencing of Layout Plans

Once the layout plans are obtained, Propsure initiates the georeferencing process. Georeferencing involves aligning the spatial data from the layout plans with real-world geographic coordinates. This step is crucial for accurately representing the spatial features depicted in the plans within a geographic information system (GIS) environment. Propsure utilizes geospatial software tools to assign coordinate values to key reference points on the layout plans, ensuring their precise spatial location within the city of Islamabad.

Digitization of Layout Plans

After georeferencing, the layout plans undergo digitization. Digitization involves converting the analogue or paper-based layout plans into digital formats, such as raster or vector datasets. Propsure employs advanced scanning and digitization techniques to capture the spatial features depicted on the layout plans accurately. This process enables easier manipulation, analysis, and visualization of the real estate data within a digital environment.

Rectification of Digital Data

Following digitization, Propsure conducts a thorough review and rectification of the digital data. This step aims to address any inaccuracies or discrepancies that may have arisen during the conversion process. PropSure’s team of GIS experts meticulously compare the digitized data with the original layout plans to identify and correct any errors in spatial alignment, attribute information, or geometric accuracy. Rectifying the digital data ensures its fidelity and reliability for subsequent stages of the digitization process.

Ground Verification Survey

To validate the accuracy of the digitized data against real-world conditions, Propsure conducts ground verification surveys. These surveys involve physically verifying the spatial features depicted in the digitized real estate data with their actual counterparts on the ground. PropSure’s field teams visit the sites indicated on the digitized maps to confirm the presence and characteristics of properties, streets, landmarks, and other relevant features. Any discrepancies or inconsistencies identified during the ground verification survey are documented and addressed promptly to enhance the accuracy of the digitized data.

Quality Assurance of Data

Quality assurance protocols are implemented throughout the digitization process to ensure the accuracy and completeness of the data. PropSure’s quality assurance team conducts rigorous checks and validations to verify the integrity of the digitized real estate information. This includes reviewing spatial data attributes, conducting data integrity tests, and performing cross-referencing with authoritative sources. By adhering to stringent quality assurance measures, Propsure maintains high standards of data quality and reliability, enhancing the credibility of the digitized real estate information for various stakeholders.

Spatial Data Management Using FOSS GIS

Propsure leverages Free and Open-Source Software (FOSS) GIS tools for efficient spatial data management. These software platforms provide robust capabilities for organizing, storing, analyzing, and sharing geospatial data effectively. Propsure utilizes FOSS GIS applications such as QGIS, GeoServer, and PostGIS to manage spatial datasets, perform spatial analysis, and create interactive maps and visualizations. By leveraging FOSS GIS technologies, Propsure optimizes its spatial data management workflows, reducing dependency on proprietary software and promoting interoperability and collaboration within the GIS community.

Layers Handling in GeoServer

GeoServer plays a pivotal role in PropSure’s spatial data management infrastructure by facilitating the hosting and serving of spatial data layers. Propsure organizes the digitized real estate data into layers based on thematic categories such as land parcels, infrastructure networks, administrative boundaries, and points of interest. These layers are published and managed within GeoServer, enabling efficient retrieval and dissemination of spatial data through standardized web protocols such as OGC standards (e.g., WMS, WFS). Propsure configures GeoServer to optimize performance, scalability, and security, ensuring seamless access to spatial data for internal and external stakeholders.

Spatial Data Visualization on Web

Propsure utilizes spatial data visualization tools to present the digitized real estate information in a user-friendly format on the web. Interactive web mapping applications are developed to enable stakeholders to access, explore, and analyse the spatial data through intuitive interfaces. Propsure employs technologies such as Leaflet, OpenLayers, and Mapbox to create dynamic and responsive web maps that provide various functionalities, including search, query, thematic mapping, and spatial analysis. By leveraging web-based spatial data visualization, Propsure enhances accessibility and usability, empowering stakeholders to make informed decisions related to real estate management and urban planning in Islamabad.

Uploading & Maintenance Server

To ensure continuous availability and usability of the digitized real estate data, Propsure uploads and maintains the data on dedicated servers. These servers are equipped with robust hardware infrastructure and scalable storage solutions to accommodate large volumes of spatial data. Propsure implements automated backup and versioning mechanisms to safeguard against data loss and corruption. Regular maintenance routines, including data updates, performance monitoring, and security audits, are carried out to uphold the reliability and integrity of the spatial data hosted on the servers. By maintaining dedicated servers, Propsure ensures seamless access to up-to-date real estate information for stakeholders across various applications and platforms.
PropSure’s digitization process of real estate in Islamabad follows a meticulous and comprehensive methodology aimed at ensuring accuracy, reliability, and usability of spatial data. From the acquisition of layout plans to the maintenance of data servers, each step is carefully executed to meet the evolving needs of real estate management and urban planning in the region. By leveraging advanced geospatial technologies and adhering to best practices in spatial data management, Propsure plays a crucial role in facilitating informed decision-making and sustainable development in Islamabad’s real estate sector.

List of Attributes of Each Polygon (42)

Each polygon in PropSure’s digitized real estate data is associated with 42 attributes, providing comprehensive information about the spatial features depicted on the maps. These attributes include:
  1. Name Authority: The authority responsible for naming the area or property depicted by the polygon.
  2. Housing Scheme Name: The name of the housing scheme or development project to which the polygon belongs.
  3. Phase/Sector: The phase or sector within the housing scheme or development project.
  4. Block/Subsector: The block or subsector within the phase or sector.
  5. Plot No.: The plot number assigned to the specific parcel of land.
  6. Land Use: The primary land use classification for the parcel (e.g., residential, commercial, industrial).
  7. Other Use: Any secondary or alternative land use classification for the parcel.
  8. Size LxW Feet: The dimensions of the plot in terms of length and width, measured in feet.
  9. Area In: The unit of measurement used to quantify the area of the plot (e.g., square feet, square meters).
  10. Total Area: The total area of the plot in the specified unit of measurement.
  11. Street: The name of the street adjacent to or bordering the plot.
  12. Street Width Ft: The width of the street adjacent to or bordering the plot, measured in feet.
  13. Gali Number: The alley or lane number associated with the plot.
  14. Road: The type of road infrastructure adjacent to or bordering the plot (e.g., main road, secondary road).
  15. Master Plan Zone: The zoning classification according to the city’s master plan.
  16. Approval Status of Scheme: The current approval status of the housing scheme or development project.
  17. Plot Layout Plan Status: The status of the plot layout plan approval.
  18. Number of Stories: The number of stories or floors permitted for construction on the plot.
  19. FAR (Floor Area Ratio): The ratio of the total floor area of a building to the area of the plot.
  20. GC Percentage: The percentage of ground coverage allowed for buildings on the plot.
  21. Permitted Land Use: Additional details regarding the permitted land use activities on the plot.
  22. Plot Status: The current status of the plot (e.g., vacant, under construction, occupied).
  23. Building Height Ft: The maximum permissible height of buildings on the plot, measured in feet.
  24. Height Floor Ft: The height of each floor in the building, measured in feet.
  25. Building Line ft: The distance from the plot boundary to the building’s front facade, measured in feet.
  26. Side Space Ft: The minimum required distance between the building and the side boundary of the plot, measured in feet.
  27. Rear Space Ft: The minimum required distance between the building and the rear boundary of the plot, measured in feet.
  28. Parking Provision: Details regarding parking facilities provisioned for the plot (e.g., onsite parking, street parking).
  29. House Vacant: Indicates whether the house on the plot is vacant or occupied.
  30. Value of Property: The estimated value or assessed value of the property.
  31. Remarks: Additional comments or remarks pertaining to the plot or property.

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