proc variogram (SAS institute)

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SAS institute proc variogram
Proc Variogram, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/variogram/proc+variogram/pm39774920-86-13-15
Average 90 stars, based on 1 article reviews

proc variogram - by Bioz Stars, 2026-09

90/100 stars

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Article Title: Black-backed woodpecker abundance in the Black Hills
Article Snippet: The Black Hills population of black-backed woodpeckers (Picoides arcticus) was petitioned, but deemed not warranted, to be listed as a threatened or endangered species under the Endangered Species Act and more information on their population size in the region is needed.. Our objective was to map abundance and provide a population estimate of black-backed woodpeckers in the BlackHills and Bear LodgeMountains of South Dakota and Wyoming, USA.. We conducted 3,666 and 3,384 5-minute point count surveys from late-March to late-June in 2015 and 2016, respectively.

Article Title: Songbird nest success is positively related to restoration of pine–oak savanna and woodland in the Ozark Highlands, Missouri, USA
Article Snippet: We failed to reject the null hypothesis of zero spatial autocorrelation based on Moran’s I statistic (P . 0.10; PROC Variogram; SAS Institute, Cary, North Carolina, USA) and concluded that spatial correlation was not a problem.

Article Title: Patterns and sources of variation in pollen deposition and pollen tube formation in flowers of the endemic monoecious shrub Cnidoscolus souzae (Euphorbiaceae).
Article Snippet: Pollen deposition and pollen tube formation are key components of angiosperm reproduction but intraspecific variation in these has rarely been quantified.. Documenting and partitioning (populations, plants and flowers) natural variation in these two aspects of plant reproduction can help uncover spatial mosaics of reproductive success and underlying causes.. In this study, we assess variation in pollen deposition and pollen tube formation for the endemic monoecious shrub Cnidoscolus souzae throughout its distribution range in Mexico, and determine how this variation is structured among populations, plants and flowers.

Article Title: Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old.
Article Snippet: The spatial covariance estimates via the empirical semi-variogram model were computed using the PROC VARIOGRAM procedure in SAS (Kincaid, 2005).

Article Title: Distribution of Dermacentor andersoni (Acari: Ixodidae) in Grassland Regions of Alberta, Canada.
Article Snippet: The geographic distribution of the Rocky Mountain wood tick, Dermacentor andersoni Stiles, was determined in Alberta, Canada, by drag sampling at 86 and 89 sites during 2011 and 2012, respectively.. Tick density and prevalence varied between years, averaging (range) 1.0 (0–26.2) and 5.9 (0–110) ticks/1,000 m2 in 2011 and 2012, respectively.. Ticks were detected at 24.4% and 42.7% of the sites sampled in each respective year.

Sampling:

Article Title: Optimizing decision-making potential, cost, and environmental impact of traps for monitoring olive fruit fly Bactrocera oleae (Rossi) (Diptera: Tephritidae).
Article Snippet: .. For each sampling date, with trap catch data on a logarithmic scale, the Proc Variogram (SAS) procedure was used to calculate the range and sill parameters. .. These values were subsequently used as initial covariance values for simulation of generalized mixed models (Proc Glimmix, SAS) for different scenarios with different numbers of sticky panels per plot: in a plot of 100 × 100 m = 1 ha, with the number of sticky panels equal to 4, 9, 16, 25, 36, and 49 (Supplementary Fig. S3).

Software:

Article Title: Integrating spatially distributed data into Positive Matrix Factorization to identify the hotspots of local emission sources
Article Snippet: The receptor model of Positive Matrix Factorization (PMF) is widely used to identify the air pollution sources of fine particulate matter (PM2.5).. However, using data collected at a single site in PMF analysis limits its ability to characterize the source emission regions.. To recognize the hotspots of emission sources, this study incorporated spatially distributed PM2.5 mass concentrations into PMF modeling to estimate the spatial distribution of sourcespecific PM2.5.

Selection:

Article Title: Spatial Response of Near‐Surface Soil Water Contents to Newly Imposed Soil Management
Article Snippet: .. Semivariogram models were then inversely parameterized using Proc Variogram in SAS 9.4 with model selection based on convergence and Akaike information criterion (SAS Institute, 2018a). .. Models included cubic, exponential, Gaussian, Matern, pentaspherical, power, sine hole, and spherical, which were also allowed to form nested functions (SAS Institute, 2018b).

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