Примеры использования Spatial statistics на Английском языке и их переводы на Русский язык
{-}
- 
                                                                                        Official
                                                                                    
- 
                                                                                        Colloquial
                                                                                    
Spatial statistics.
VI. Seminar on spatial statistics 6.
Spatial statistics concentrate on patterns and clusters of activity.
There are four fundamental questions spatial statistics try to answer.
III. Spatial statistics.
There are various differences between the application of spatial statistics and the use of statistical grids.
New robust and spatial statistics, including WinsorizedMean and SpatialMedian.
The session will also set out recommendations which have arisen during the course of the discussion on spatial statistics.
Integration of transport modelling, spatial statistics and geographical information systems.
Spatial statistics/ Role of a spatial  dimension in official statistics. .
The INSPIRE directive andits implementation rules put additional stress on publishing spatial statistics.
Spatial statistics has received increased attention as the geo-referenced data become increasingly important.
In 2009 a so-called'backbone of addresses' was completed andimplemented which enables new spatial statistics.
While spatial statistics can be found in many disciplines, the commonality is found in the pervasiveness of data patterns.
The small size and utility of census blocks makes them good candidates to serve as a unit for acquiring,managing and using spatial statistics.
Spatial statistics use various techniques to study data and their topological, geometric, and geographic attributes.
Metadata for geographically compiled data do not necessarily align with statistical metadata which can raise problems in dissemination of spatial statistics.
The study of spatial statistics drives the need for automated methods of summarization, classification, and prediction or modeling.
The adoption of Geographic Information System(GIS)technologies at national statistical institutes has increased alternative ways of developing and compiling spatial statistics.
Spatial statistics are distinguished from other forms of statistics  in that they are concerned with the location of the data values.
Statistical offices must maintain the priority of ensuring the quality of the disseminated data while taking on board the new technological developments in spatial statistics.
Spatial statistics, also referred to as geostatistics, is a form of statistics  analyzing spatiotemporal datasets.
Greater availability of spatial  data combined with statistics  at lower levels of geography has led to an increased interest in the use of spatial statistics in recent years.
Spatial statistics was applied in obtaining the time-space correlations between the variables in Cuba during the period 1998-2002.
The in-depth review report could consider, in addition to traditional housing statistics,  the combination with related issues,like poverty, energy, spatial statistics, etc.;
In spatial statistics every location displays a spatial  pattern, whether in the form of the environment, climate, pollution, urbanization or human health.
Arising in the 1960s from the nexus between the emerging fields of computer cartography, spatial statistics and analysis, and computer science, GIS initially focused on algorithm development and map production.
Spatial statistics can be used to describe the spatial  features of a data set and to interpolate from a given set of data to areas where little or no information is available.
The emerging science of geomatics has encouraged the development of disciplines such as spatial statistics, also known as geostatistics, aimed at setting trends of statistical observations from the space-time reference, in addition to the trends established by traditional numerical analysis.
When disseminating spatial statistics based on grids, confidentiality should be carefully considered; there is a need for more methodological work to develop appropriate solutions.