SpaceStat 4 空間經濟統計分析軟體
- SpaceStat 4 空間經濟統計分析軟體
介紹SpaceStat software, first released in 1991, is the international standard for spatial econometric modeling.
ABOUT IMPORTING GEODATABASE FILES INTO SPACESTAT — GDB VERSIONS 10.2 AND LATER
Until SpaceStat, there was no comprehensive software package that covered a reasonable range of techniques in spatial statistics, geostatistics and spatial econometrics. Time is an integral part of SpaceStat. All views of the data can be animated, from maps to histograms to scatter plots, and all analytics are accomplished through time. All views of the data, including animations and statistical results, can be linked together to enable data discovery and reveal new insights.
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. Use SpaceStat by itself or alongside Esri’s ArcGIS to substantially extend your GIS analysis capabilities.
SpaceStat 4.0 represents a major reworking of the underlying architecture of the application. Multithreading has been introduced improving the performance of many methods. A LeSage-Pace estimator for spatial-error and spatial-lag analyses has been added to the spatial regression method. We have designed feature enhancements in SpaceStat 4.0 that improve the appearance, functionality and performance of maps and graphs. You will also find that the extensive help documentation has been updated, revised and expanded.
Mplus版本8.3現已推出。 Mplus版本8.3包括對自2015年11月發布的7.4版以來發現的次要問題的更正以及以下新功能： 時間序列分析功能 N = 1次時間序列分析（用戶指南ex 6.23 - 6.28） 兩級時間序列分析（用戶指南前9.30 - 9.37） 交叉分類時間序列分析（用戶指南9.38 - 9.40） 時間序列圖（樣本值，ACF，PACF，估計因子得分）
The QI Macros Six Sigma Software for Excel draws pareto charts, control charts with stability analysis (c, np, p, u, XmR, XbarR, XbarS), histograms with Cp Cpk, scatter plot diagrams, box and whisker plots and more.
PRIMER has become the global standard in software tools for nonparametric multivariate analysis. Classical techniques falter when there are too many variables, or when assumptions of multivariate normality do not hold.