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distribuito in esclusiva in Italia da TStat S.r.l.
Product Description
SpaceStat software, first released in 1991, is the international standard for spatial econometric modeling.
Despite solid indications that spatial
effects matter, much empirical work that uses spatial data still fails
to take its distinctive characteristics into account. Until SpaceStat,
there was no comprehensive software package that covered a reasonable
range of techniques in spatial statistics and spatial econometrics.
Unlike geographic information systems (GIS) software, time is an
integral part of SpaceStat. Thus, all views of the data can be
animated, from maps to histograms to scatter plots. Furthermore, these
animations can be linked together to explore ideas and discover
patterns.
SpaceStat provides an extensive suite of spatiotemporal and statistical
tools including: exploratory spatial data analysis; spatial econometric
analyses; and the creation of spatial weights sets and variogram models.
SpaceStat replaces our legacy product STIS (Space-Time Intelligence
System) and offers all of the STIS functionality plus many added
features and improvements. Additionally, SpaceStat is backwards
compatible and able to open your STIS projects.
Principal Characteristics
StaceStat allows you to view the data in your project, display these
data in maps and graphs, and to perform statistics to evaluate spatial
patterns. What makes this software unique is that it is a space-time
information system. In StaceStat, time is a dimension of the data,
rather than an attribute linked to each object in the dataset. Thus,
almost all views of the data can be animated, from maps to histograms
to tables. But, StaceStat does more than just animate your data, it
allows you to make statistical inferences about patterns in the data as
well. StaceStat allows you to view, interact with and statistically
analyze your space-time data so that you can make informed decisions.
Over the past year, we have added
powerful new tools for manipulating data and performing statistical
analyses, including several which are not available in any other
software package. In addition, we have improved data import by
adding the option to import geographies or attribute data directly from
Microsoft Office Excel files, and made it easy to copy graphs or maps
from SpaceStat and paste them into other programs. Here we
provide an overview of the features we have availble in SpaceStat.
Regression tools
Although certainly not unique to
SpaceStat, aspatial regression tools, including linear, Poisson, and
logistic regression allow you to go from spatio-temporal data
exploration to model building within one software package. In
addition to the "simple" forms of these regression tools, SpaceStat
also allows you to use model building tools such as best subset, and
forward and backward stepwise regression. All of these tools can
be applied to datasets that encompass multiple times, which allows you
to quickly evaluate how model fit and other parameters change over time.
In SpaceStat, you can also perform geographically-weighted regression
(local, rather than global regression analyses); as with aspatial
regression, your GWR models can have a linear, Poisson, or logistic
form.
Using SpaceStat, you can not only build both spatial and aspatial
models, you can run models developed using one method (i.e., as an
aspatial linear model) in another form (i.e., aspatial Poisson, or
linear GWR), and use our wealth of data exploration tools to explore
how this change in tools influences the results of your analysis over
all of the time periods in your datasets.
Improved Disparity Statistics
Following the publication of advances in
quantifying health disparities by Goovaerts et al. (2007), we are the
first to make these advances available in a software package.
New ways to Aggregate Data/Change your Spatial Data Support
SpaceStat
allows you to aggregate (change the spatial support) for your data in
four different ways: from a point or polygon geography to a
different point or polygon geography, or from points to polygons and
vice versa.
Import data as Microsoft Office Excel files
To simplify the process of importing
data, we now provide the option of importing data directly from
Microsoft Office Excel. You can use this option to bring in a new
point geography, or to add datasets to existing geographies in your
SpaceStat project.
Copy Graphs, Maps, and Tables to the Clipboard
The
Map/Graph menus now include an option to copy an image of a given graph
or map to the clipboard so that you can paste the image into word
processing or presentation (e.g., Microsoft Powerpoint) files open in
different software programs. You can perform a similar function
with the copy option in the Edit menu for tables, and copy tabular
information directly into Microsoft Excel.
Summary of Features in SpaceStat 3: Geodatabase Integration
With this important new release, SpaceStat extends the range of
import/export file types to the geodatabase (gdb) format. SpaceStat’s
advanced visualization, space-time analysis, and modeling techniques
are easily integrated into workflows that use Esri technologies. For
example, you can use Esri’s ArcGIS to acquire, edit, and manipulate
your data, and then use SpaceStat to analyze time-dynamic data; to
target health interventions, to assess health disparities, and to
undertake predictive modeling.
(Note
on terminology change: Based on the results of usability studies and a
survey we conducted, in this release, we have changed the method name
"spatial interpolation" to "scale conversion/interpolation" to help our
users understand the multiple applications this procedure can serve for
our users.)
(Esri,
and esri.com are trademarks, registered trademarks, or service marks of
Esri in the United States, the European Community, or certain other
jurisdictions.)
Summary of Features in SpaceStat 2
In the SpaceStat version 2 release cycle, we combined the
existing methods you are accustomed to (including the main types of
spatial regression and spatial exploration methods) with the power and
sophistication of a new data visualization interface and the ability to
time-reference data. Here's the summary of improvements:
- Geostatistical methods (simple and ordinary kriging, universal
kriging, kriging with multiple external drift data sets, and Poisson
kriging)
- Multi-level regression (with linear, logistic and Poisson options*
- Extensive variogram model dialog
- Poisson Smoothing
- Spatial and temporal interpolation
- Performance improvements to the statistical methods
- Export CSV files
*Additional Note on Multi-Level Regression: SpaceStat's multi-level
regression (or mixed model regression) is an extension of aspatial
regression that allows the model's regression coefficients to vary
across geographical boundaries. As in aspatial regression, the main
output consists of the regression coefficients (but now including
details of their geographical variation). Residual datasets are listed
in the data view for the user to analyze spatial patterns using the
extensive suite of geospatial methods provided in SpaceStat. The
regression analysis is carried out for each time interval in which the
data change allowing one to visualize the progress of the regression
results and spatial patterns through time. The types of multi-level
regression that can be carried out in SpaceStat are linear, logistic
and Poisson regression, together with the option of including
dispersion for both logistic and Poisson regression.
System Technical Requirements
SpaceStat requires Microsoft Windows™ operating systems.
SpaceStat is protected by U.S. patents 6,360,184, 6,460,011, 6,704,686, and 6,738,728.
Copyright © 2010 BioMedware
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