Biodiversity ; Biogeography ; Concept ; Ecological niche ; Ecology ; Forecast ; Habitat ; Model ; Plant species ; Spatial autocorrelation ; Spatial distribution ; Statistics
When standard statistical methods such as regression are used to formulate species distribution models, assumptions about the spatial structure of the data and the model parameters are often violated. Autocorrelation and non-stationarity
in an ecological context using species distribution models, they are broadly relevant to any statistical modeling applications using spatial data.
Scale in the effect of accessibility on population change : GIS and a statistical approach to road, air and rail accessibility in Finland, 1990-2008
Accessibility ; Airport ; Demographic change ; Finland ; Geographical information system ; Population distribution ; Railway ; Road ; Scale ; Statistics ; Transport network
Measuring ethnic clustering and exposure with the Q statistic : an exploratory analysis of Irish, Germans, and Yankees in 1880 Newark
Ethnic community ; Historical geography ; Methodology ; New Jersey ; Segregation ; Spatial concentration ; Statistics ; The 1880's ; United States of America ; Urban area
Canada ; Geographer ; Geographic research ; Geographical information system ; Geographical periodical ; Research ; Spatial analysis ; Spatial autocorrelation ; Spatial statistics ; Statistics ; United Kingdom ; United States of America
Climatic change ; Cluster analysis ; Inventory ; Landslide ; Simulation ; Slope dynamics ; Space time ; Statistics ; Time series
The results obtained with simple Monte Carlo and bootstrap simulations of statistical models show that significant changes to total volumes contained in such inventories may be masked by statistically indistinguishable scaling parameters, critically
this period. However, elucidating whether this is a distinct signal of first-order climate-change impact on slope stability or simply coincides with a transition from short-term statistical noise to long-term steady-state conditions remains an important
and land use) and rainfall characteristics was investigated as well and statistical analysis revealed to be the most effective way to define a more advanced early warning system based on a set of multiple thresholds. Four thresholds corresponding to four
This article analyses the spatial classification of rural areas In Poland. The goal of the methodological work is to present a concept of the division of rural areas, and its possible applications based on official statistical data. This method
2012
[b1] Central Statistical Office, Warszawa, Pologne
China ; Classification ; Cluster analysis ; Gravity model ; Livestock ; Livestock farming ; Poultry ; Spatial analysis ; Spatial autocorrelation ; Statistical data ; Thematic map
This paper aims to investigate the spatial patterns of livestock and poultry breeding in China. Using statistical yearbook and agricultural survey in 2007, the county-level populations of livestock and poultry are estimated as equivalent
standardized pig index (ESP), per cultivated land pig index (PCLP) and per capita pig index (PCP). With the help of spatial data analysis (ESDA) tools in Geoda and ArcGIS software, especially the Moran’s I and LISA statistics, the nationwide global and local
The urban enterprises of twelve towns in the Eastern Cape Karoo were identified, enumerated and classified into different business sectors. Statistical analyses were used to examine six hypotheses regarding the question as to whether small towns
While organizational proximity influences the output of collaborations only indirectly, geographical and technological proximity do so directly. Geographical proximity is most significant in statistical terms and technological proximity has
The AA. try to analyze the manors of Vas county (W-Hungary) with characterizing and categorizing them by using statistical and empirical methods. Using these processes the following categories were generated: types of manors by physicality, present
Atmospheric circulation ; Bioclimatology ; Climatic variability ; Heat ; Human bioclimatology ; Model ; Ocean atmosphere interaction ; Perception ; Poland ; Space time ; Statistical analysis ; Summer ; Temperature
in 1971-1990 were used. The Empirical Orthogonal Functions (EOF) method was applied to assess several models for the spatial and temporal variability of the parameter analyzed. The statistical downscaling procedure of Canonical Correlation Analysis (CCA
Czech Republic ; Election ; Electoral turnout ; Housing policy ; Local development ; Regional development ; Spatial analysis ; Spatial autocorrelation ; Spatial clustering ; Spatial structure ; Statistical data ; Unemployment ; Urban fragmentation
of variability, but these measures should be accompanied by an application of measures of spatial autocorrelation, which are able to capture the character of spatial pattern and its changes. Combinations of these two types of statistics allow a more comprehensive
, the number of small and large boulders, and the number of 10-30 cm, 30-60 cm and >60 cm pieces of wood. The statistical-empirical model is founded on the idea that boulders, bedrock outcrops and large woody debris provide a physical framework
. Pools are assigned different probabilities of development depending on the obstruction type. The model accurately mimics some statistical attributes of pool spacing, and future versions of the model could be developed to improve overall predictive
Multivariate statistical techniques, such as cluster analysis (CA), principal component analysis (PCA), factor analysis (FA) and discriminant analysis (DA), were applied to evaluate the temporal/spatial variations of water quality data sets
for Kralkızı, Dicle and Batman dam reservoirs in the Tigris River basin, obtained during 1 year (2008–2009) of monitoring. This study highlights the usefulness of multivariate statistical techniques for the evaluation and interpretation of complex water quality