Accurately determine and visualize property values with GIS
Explore, enrich, analyze, and visualize values
Map and analyze property values with GIS to improve property value assessments. Use location analytics to enrich your data and visualize the results to uncover trends and patterns. You can quickly detect errors and outliers, refine valuation models, and deliver more accurate data to your stakeholders and taxpayers. Quickly map price per square foot, comparable properties, and sales ratios to improve efficiency and property analysis.
Spatial analysis and geoenrichment improve value analysis
Spatial analysis and modeling
Data enrichment
Visualization and mapping
Improved field operations
Spatial analysis and modeling
Improve your valuations and analysis with spatial statistics. ArcGIS spatial analytical capabilities include geographic weighted regression, ordinary least squares, forest-based classification, artificial intelligence, and machine learning to support your existing and new models.
Data enrichment
Use location to augment your property characteristics data with geoenrichment. With ArcGIS GeoEnrichment Service you can append additional property characteristics to your data, improving data quality, analysis, and valuations that are defendable, fair, and equitable.
Visualization and mapping
Use ArcGIS mapping capabilities to easily visualize trends and patterns in your valuation data. Understand how location affects value. Use charts, graphs, and maps that work together to deliver insight and improve your data by detecting errors and outliers.
Improved field operations
Maximizing productivity for field personnel is centered around location. Esri's location technology enables local government to locate staff, assign work, and route staff throughout the day. With a user-friendly solution that requires little to no training, staff can now reduce errors, boost productivity, and save their organization money.
Article
How assessors are using ArcGIS Dashboards
Governments are using dashboards to get more out of their data. Learn how assessors can use this tool for presenting operational and analytical data.
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Article
Maui County introduces 3D mapping
Maui County is using 3D mapping to improve data quality. Adding GIS visualization and analytics improves valuations and reduces appeals.
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Article
Using forest-based classification to model values
Forest-based classification and regression is a popular machine learning method. Learn how you can use this modeling technique in valuating homes.
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Case study
Shawnee County appraisers use GIS
With resources more limited than in previous years, the county maximized productivity for appraisers and can now appraise hundreds of properties.
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Article
Telling the story of taxes in Alaska
The State of Alaska is using GIS to aggregate and analyze taxes from the 164 independent municipalities that levy their own sales tax.
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Products and solutions for value analysis
Tax Reverted Property
Tax Reverted Property can be used to collect delinquent tax property information and market properties available for sale to land development companies, real estate professionals, and the general public.
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Parcel Value Analysis
Assessors can use this dashboard to visualize the impact of sales, foreclosures, and assessment appeals on property value in a neighborhood.
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ArcGIS Pro
This single desktop GIS application can support data visualization, advanced analysis, and authoritative data maintenance in both 2D and 3D.
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ArcGIS Spatial Analyst
This ArcGIS extension provides advanced spatial modeling and analysis tools to find suitable locations and discover spatial patterns.
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ArcGIS Geostatistical Analyst
This ArcGIS extension offers a suite of interactive tools to evaluate your models, investigate the distribution of data, and locate outliers.
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ArcGIS Insights
Explore data and perform advanced analytics, such as spatial, statistical, predictive, and link analysis, to improve your decision-making.
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ArcGIS Workforce
This solution uses the power of location to coordinate your field workforce and provide access to authoritative data.