Spatial and temporal variations and significance identification of ...

Temporal and Spatial Variation of the Skin-Associated Bacteria from ...

We quantified the spatial-temporal variation (interindividual variation, differing skin depths, multiple time points) of the skin-associated ...

Long-term spatial-temporal trends and variability of rainfall over ...

Spatial temporal variation was derived by calculating coefficient of variation (CV) for monthly and annual time series using raster package.

Spatial-Temporal Variation Characteristics and Influencing Factors ...

Spatial-Temporal Variation Characteristics and Influencing Factors of Vegetation in the Yellow River Basin from 2000 to 2019 ... Authors: Peirong Shi; Peng Hou ...

Spatial and Temporal Variations in Reef Manta Ray (Mobula alfredi ...

Passive acoustic telemetry and modelled environmental data were used to investigate variations in 42 tagged M. alfredi utilization of a meso-scale aggregation ...

Spatial and temporal variation and hotspot detection of kala-azar ...

The application of GIS with spatial statistics, including spatial filtering (smoothing) and cluster analysis, pertained to the other diseases, ...

To find out, you'll quantify the statistical significance of the aggregated check-ins. ... The final result accounts for both spatial and temporal variations in ...

spatial and temporal varitations in dissolved calcium in the kentucky ...

Statistical analysis revealed no significant monthly variations were found throughout the sites on Kentucky Lake during the period of this study. However ...

(PDF) Pattern Recognition Techniques for the Evaluation of Spatial ...

CA renders good results as a first exploratory method to evaluate both spatial and temporal differences, however it fails to show details of ...

Spatial and Temporal Variation in Water Quality of River Benue ...

In order to explore the spatial variation among different stations and seasonal changes, MANOVA was used to group these on the basis of spatial similarities ( ...

Spatial and spatio-temporal modeling - Global Health Data Methods

The goal in spatial analysis is to investigate geographic variation in the probability of occurrence of the health outcome. Spatio-temporal modeling. Spatio- ...

Mt or not Mt: Temporal variation in detection probability in spatial ...

Here, I investigate whether closed spatial capture-recapture (SCR) and single season occupancy models are robust to ignoring temporal variation ...

Visualization of spatial and temporal variations of tweet topic ...

However, applying the aggregation technique and visualization on these microblogs helps find abstract topics or inherent meanings, which is ...

Spatial-temporal variations and trends of Internet users

The results demonstrated that the spatial distribution of IUP at the country level showed significant positive autocorrelations indicating ...

Spatial and Temporal Variation in Rocky Intertidal Communities ...

* Indicates significant findings. Page 14. Community Structure of Hawai'i's Rocky Intertidal Zones · Cox et al. 35.

Spatial and temporal variability of turbulence dissipation rate in ...

We explore how topography triggers the variability of ϵ at various temporal and spatial scales. We describe the WFIP2 field campaign in Sect. 2, ...

Water quality assessment and spatial–temporal variation analysis in ...

In October (autumn), the spatial distribution of TN followed the sequence northern area > central area > southern area. Generally, in the wet ...

Spatial and spatio-temporal variability in social, emotional and ...

The availability of data and the strength of evidence to support each construct varied. For many constructs, there was limited understanding of their relevance ...

Understanding temporal and spatial temperature variation at the ...

During the ice-free period Kevojärvi had a significant influence on temperatures at low and mid elevations within the study area, resulting in a reversal of the.

Spatial/Temporal Variations and Source Apportionment of VOCs ...

The data were not normally distributed; thus, non-parametric approaches were used for data analysis. Specific descriptions of each analysis are presented below.

Spatial/Temporal Variability - USDA ARS

Spatial modeling requires intensive sampling efforts that increase in complexity as within field variation increases. These types of data must ...