This repository contains data and codes that support the findings of the study.- PPD-EPC open dataset with the enriched spatial analyses scores and UPRN.- Batch Geocoding Notebook of PPD-EPC dataset with GeoPy - Here API- PyQGIS codes for proximity, terrain, and visibility spatial analyses.- Jupyter Notebook of Machine Learning algorithms for mass property valuation.

Field descriptions for the James City County Parcel layer and the Data table.

James City County Data - Updated nightly IGNORE dates on this site.Combination of parcel information from the GIS/Mapping and the Real Estate departments.This table includes multiple improvements per parcel.Also download the GIS and Real Estate Data Field Descriptions.pdf file for a list of field descriptions.This data is updated every night

This dataset has been published by the Office of the Real Estate Assessor of the City of Virginia Beach and data.virginiabeach.gov. The mission of data.virginiabeach.gov is to provide timely and accurate City information to increase government transparency and access to useful and well organized data by the general public, non-governmental organizations, and City of Virginia Beach employees.

James City County DataCombination of parcel information from the GIS/Mapping and the Real Estate departments.This table does not included multiple improvements per parcel.There is only 1 record per parcel IDAlso download the GIS and Real Estate Data Field Description.pdf file for a list of field descriptions.This data is updated every night

This table contains the assessed values for current tax year and prior tax year for land and building for properties in Fairfax County. There is a one to one relationship to the parcel data. Refer to this document for descriptions of the data in the table.

This file contains all assessment information for City parcels. The "ParcelNumber" field can be joined to the "ParcelNumber" field in the "Parcel Area Details" data set for mapping purposes (current parcels only).

Sales and transfer information, to include owner information is updated daily.

The assessment values are done yearly and reassessment notices go out at the end of January. The new assessment values will be reflected on the GIS viewer after reassessment notices are mailed.

Note: Active and Retired parcels are included in this data set so joining this data set to the data sets: ‘Real Estate (Base Active)’ or ‘Parcel Area Details’ will not result in all parcels matching since ‘Real Estate (Base Active)’ and ‘Parcel Area Details’ only contain currently active parcels.

Access Wisconsin's 198 data folders with 1,291 services and 4,586 layers of parcel boundaries, property tax records, and GIS mapping data.

This is a comprehensive collection of tax and assessment data extracted at a specific time. The data is in CSV format. A data dictionary (pdf) and the current tax rate book (pdf) are also included.

This dataset visualises the spatial distribution of the rental value in Amsterdam between 1647 and 1652. The source of rental value comes from the Verponding registration in Amsterdam. The verponding or the ‘Verpondings-quohieren van den 8sten penning’ was a tax in the Netherlands on the 8^th penny of the rental value of immovable property that had to be paid annually. In Amsterdam, the citywide verponding registration started in 1647 and continued into the early 19^th century. With the introduction of the cadastre system in 1810, the verponding came to an end.

The original tax registration is kept in the Amsterdam City Archives (Archief nr. 5044) and the four registration books transcribed in this dataset are Archief 5044, inventory 255, 273, 281, 284. The verponding was collected by districts (wijken). The tax collectors documented their collecting route by writing down the street or street-section names as they proceed. For each property, the collector wrote down the names of the owner and, if applicable, the renter (after ‘per’), and the estimated rental value of the property (in guilders). Next to the rental value was the tax charged (in guilders and stuivers). Below the owner/renter names and rental value were the records of tax payments by year.

This dataset digitises four registration books of the verponding between 1647 and 1652 in two ways. First, it transcribes the rental value of all real estate properties listed in the registrations. The names of the owners/renters are transcribed only selectively, focusing on the properties that exceeded an annual rental value of 300 guilders. These transcriptions can be found in Verponding1647-1652.csv. For a detailed introduction to the data, see Verponding1647-1652_data_introduction.txt.

Second, it geo-references the registrations based on the street names and the reconstruction of tax collectors’ travel routes in the verponding. The tax records are then plotted on the historical map of Amsterdam using the first cadaster of 1832 as a reference. Since the geo-reference is based on the street or street sections, the location of each record/house may not be the exact location but rather a close proximation of the possible locations based on the street names and the sequence of the records on the same street or street section. Therefore, this geo-referenced verponding can be used to visualise the rental value distribution in Amsterdam between 1647 and 1652. The preview below shows an extrapolation of rental values in Amsterdam. And for the geo-referenced GIS files, see Verponding_wijken.shp.

GIS specifications:

Coordination Reference System (CRS): Amersfoort/RD New (ESPG:28992)

Historical map tiles URL (From Amsterdam Time Machine)

NB: This verponding dataset is a provisional version. The georeferenced points and the name transcriptions might contain errors and need to be treated with caution.

Contributors

• Historical and archival research: Weixuan Li, Bart Reuvekamp
• Plotting of geo-referenced points: Bart Reuvekamp
• Spatial analysis: Weixuan Li
• Mapping software: QGIS
• Acknowledgements: Virtual Interiors project, Daan de Groot

This is a comprehensive collection of tax and assessment data extracted at a specific time. The data is in CSV format. A data dictionary (pdf) and the current tax rate book (pdf) are also included.

This table contains the information about the land including land sizes (square feet & acres) and land property type for properties within Fairfax County. There is a one to many relationship to the parcel data. Refer to this document for descriptions of the data in the table.

Visit Real Estate Services (michigan.gov) for more information.

This is a collection of CSV files that contain assessment data. The files in this extract are:Primary Parcel file containing primary owner and land information;Addn file containing drawing vectors for dwelling records;Additional Address file containing any additional addresses that exist for a parcel;Assessment file containing assessed value-related data;Appraisal file containing appraised value-related data;Commercial file containing primary commercial data;Commercial Apt containing commercial apartment data;Commercial Interior Exterior dataDwelling fileEntrance data containing data from appraisers' visits;Other Buildings and Yard ImprovementsSales FileTax Rate File for the current billing cycle by taxing district authority and property class; and,Tax Payments File containing tax charges and payments for current billing cycle.In addition to the CSV files, the following are included:Data Dictionary PDF; and,St Louis County Rate Book for the current tax billing cycle.

To access parcel information:Enter an address or zoom in by using the +/- tools or your mouse scroll wheel. Parcels will draw when zoomed in.Click on a parcel to display a popup with information about that parcel.Click the "Basemap" button to display background aerial imagery.From the "Layers" button you can turn map features on and off.Complete Help (PDF)Parcel Legend:Full Map LegendAbout this ViewerThis viewer displays land property boundaries from assessor parcel maps across Massachusetts. Each parcel is linked to selected descriptive information from assessor databases. Data for all 351 cities and towns are the standardized "Level 3" tax parcels served by MassGIS. More details ...Read about and download parcel dataUpdatesV 1.1: Added 'Layers' tab. (2018)V 1.2: Reformatted popup to use HTML table for columns and made address larger. (Jan 2019)V 1.3: Added 'Download Parcel Data by City/Town' option to list of layers. This box is checked off by default but when activated a user can identify anywhere and download data for that entire city/town, except Boston. (March 14, 2019)V 1.4: Data for Boston is included in the "Level 3" standardized parcels layer. (August 10, 2020)V 1.4 MassGIS, EOTSS 2021

description: The primary objective of the project is to develop an integrated ecological and socioeconomic land use evaluation model (the Ecosystem Portfolio Model, EPM) for Department of the Interior (DOI) resource managers to use to reconcile the need to maintain the ecological health of South Florida parks and refuges with increasing pressures for higher density development in the agricultural lands outside of the Urban Development Boundary in Miami-Dade County. The EPM has three major components: (1) an ecological value model based on ecological criteria relevant to National Park Service and US Fish & Wildlife Service resource management and species protection mandates; (2) a real estate market-based land value model sensitive to relevant land use/cover attributes indicative of conservation and development decisions; and (3) a set of socioeconomic indicators sensitive to land use/cover changes relevant to regional environmental and ecological planning. The current version is implemented for Miami-Dade County, with the protection of ecological values in the lands between the Everglades and Biscayne National Parks as the focus. The first two components have been implemented in the GIS web-enabled prototype interface and the third component is being developed in draft form in FY08 in consultation with the Florida Atlantic University Dept of Urban and Regional Planning.; abstract: The primary objective of the project is to develop an integrated ecological and socioeconomic land use evaluation model (the Ecosystem Portfolio Model, EPM) for Department of the Interior (DOI) resource managers to use to reconcile the need to maintain the ecological health of South Florida parks and refuges with increasing pressures for higher density development in the agricultural lands outside of the Urban Development Boundary in Miami-Dade County. The EPM has three major components: (1) an ecological value model based on ecological criteria relevant to National Park Service and US Fish & Wildlife Service resource management and species protection mandates; (2) a real estate market-based land value model sensitive to relevant land use/cover attributes indicative of conservation and development decisions; and (3) a set of socioeconomic indicators sensitive to land use/cover changes relevant to regional environmental and ecological planning. The current version is implemented for Miami-Dade County, with the protection of ecological values in the lands between the Everglades and Biscayne National Parks as the focus. The first two components have been implemented in the GIS web-enabled prototype interface and the third component is being developed in draft form in FY08 in consultation with the Florida Atlantic University Dept of Urban and Regional Planning.

The global real estate surveying and mapping market is experiencing robust growth, driven by the burgeoning construction industry, increasing urbanization, and the rising demand for precise land information for real estate development projects. The market, segmented by application (urban planning, real estate development, others) and type (land surveying & mapping, house surveying & mapping, others), shows significant potential across various regions. While precise market sizing data isn't provided, considering the involvement of major players like Trimble, Fugro, and AECOM, and the rapid expansion in urban areas globally, a conservative estimate places the 2025 market value at approximately $15 billion. A Compound Annual Growth Rate (CAGR) of, say, 7% (a reasonable estimate given industry growth trends) projects significant expansion over the forecast period (2025-2033). This growth is fueled by technological advancements, particularly in Geographic Information Systems (GIS) and drone technology, enabling faster, more accurate, and cost-effective surveying and mapping. Furthermore, increasing government regulations and emphasis on sustainable development are pushing for better land management, further boosting market demand. Key restraints include the high initial investment costs associated with advanced surveying technologies and the need for skilled professionals capable of operating and interpreting data from these technologies. However, the long-term benefits of improved accuracy, efficiency, and reduced risk outweigh these initial hurdles. Regional variations exist, with North America and Europe currently dominating the market due to higher adoption rates of advanced technologies and established real estate sectors. However, rapid urbanization in Asia-Pacific and other developing regions is expected to drive substantial growth in these areas in the coming years. The market's future trajectory is positive, with opportunities for companies to innovate in data analytics and integrate AI for enhanced decision-making in real estate projects. This increased sophistication in data analysis translates to improved efficiency, reduced errors, and better-informed investment decisions.

This table contains information about additions to the structures such as patios, decks, porches, etc. for properties within Fairfax County. There is a one to many relationship to the parcel data. Refer to this document for descriptions of the data in the table.

This table contains information about the structure on the parcel including year built, number of bedrooms and bathrooms and style for properties within Fairfax County. There is a one to many relationship to the parcel data. Refer to this document for descriptions of the data in the table.

This lookup tool has been developed to provide quick access to the property information stored in the City-Parish GIS database. Users can search by Address, Subdivision Name, Business Name, North American Industry Classification System (NAICS) Code, or Lot Identification Number to find detailed information about property. Enter the required information in one of the search fields as shown in the example below each field. Next, click the button adjacent to the search criteria, and the search results will be displayed beneath the lookup tools in tabular format. Clicking on one of the search result records will invoke a new window with details about the property. The property details may then be printed and/or exported to a comma-separated values (CSV) file.