Features and Functionality

spatialest® software is a powerful modeling toolset which combines GIS and statistical functionality to offer a unique approach to property appraisal.

spatialest® software offers a new method of generating an estimate of property value using comparable sales information, intelligent property attribute comparison and geographical proximity.

Assessment Analysis

	Multiple Regression Analysis	The regression script offers the user an increased ability to manage nulls, force attributes, and output results.
	Model Builder Wizard	The wizard enables the user to quickly produce a model without any prior knowledge of statistics. Like the regression script, both additive and multiplicative models can be run from the model builder wizard.
	Sales Ratio Analysis	Identify under/over estimated values. These can be mapped directly from the analysis to identify spatial patterns and trends.
	Time Adjustments	The Time Adjustment function creates a Time Adjusted Sales Price (TASP) value which has been adjusted for the effects of price changes in the market between the date of sale and the analysis.
	Comparable Sales Analysis	Use an intelligent approach to valuation and be able to review the distribution of every subject property and its comparables on a map.
	Intelligent property attribute comparison	Create comparable rules quickly and easily using predefined selection criteria.
	Distance/Similarity Weighting	Weight whether a comparable should be chosen based on its proximity to the subject or based on its similarity.

Exploratory Data Analysis

	Exploratory Statistics	Use descriptives, crosstabs, and frequencies to identify outliers, invalid information, disqualified sales patterns. Correlations can also be used to test the relationships between pairs of variables.
	Graphs	Perform scatter plots, box plots, histograms from the graphing tab.
	Group & Categorize Variables	Simple 'drag-and-drop' tool for grouping variables removes the need for repetitive scripts.
	Compute New Variables	Create new or modify existing variables using compute statements that follow a standard syntax based on VB.NET.
	Grids	Return descriptive statistics on variables based on a specific geographic region.
	Missing Value Analysis	Accommodate for missing values in data by treating the missing values as base, a suitable alternative, or by ignoring those values altogether so that results are not adversely affected or skewed.

Comprehensive suite of GIS Functionality

	Add GIS data	Utilize ESRI shapefiles, SDE layers, and raster image layers
	Select Data Geographically	Write select queries in the map interface or use spatial select tools to identify features or generate models based on geography.
	Use Buffers	Create distance buffers around features. For instance, this might be used to identify properties which fall within a flood plain.
	Utilize online map data	Review comparables using Google online maps and streetview imagery.
	Create interpolated surfaces	Create a value prediction surface in order to identify key patterns and trends in the data.
	Visualization	Use Quantiles, Graduated Symbols, Ratio Maps, and Value Maps to symbolize quantitative or qualitative data
	Spatially Disparate Regions	Model relatively homogeneous data from spatially disparate regions
	Temporal Patterns & Trends	Assess and review trends and patterns which are often not evident from tabular analysis

Data Functionality

	Data Connection	Connect to a range of different data sources using SQL Server, Oracle, Access, MySQL, ODBC, CSV etc.
	XML Output	All analysis is stored and can be exported using XML to facilitate easy transfer between different applications, such as existing CAMA systems.
	Comprehensive Help	This resource contains examples, references, explanations and suggestions on a variety of statistical procedures including how regression analysis works.