regression analysis | Ag Data Commons

Data from: Effect of Source on Trust of Pulse Nutrition Information and Perceived Likelihood of Following Dietary Guidance

The purpose of the present study was to examine how information source (control—no source, USDA, fictitious hospital, or fictitious social media) impacts perceptions of diet information. Participants included 943 American adults who were aged 18-74 years and were recruited from across the United States through Amazon Mechanical Turk (MTurk). ANOVA results indicated that the USDA and hospital sources were perceived as more accurate, trustworthy, reliable, and more desirable to learn more from relative to control and social media. There were no differences in likelihood of following guidance depending on source.

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Prediction of Cattle Fever Tick Outbreaks in United States Quarantine Zone

Data and statistical analysis supporting a link between climate variables and US Cattle Fever tick outbreaks.

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Data from: Responses to environmental variability by herbivorous insects and their natural enemies within a bioenergy crop, Miscanthus x giganteus

This dataset consists of field data (arthropods, nematodes and NDVI) collected over the course of 6 field excursions in 2015 and 2016 near TyTy, GA, in a field used for growing Miscanthus x giganteus. It also includes interpolated values of soil measurements collected in 2015 and meteorological data collected on an adjacent farm.

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Estimated spring crop yields using Flex Cropping Tool

NAL Geospatial Catalog

Average estimated yields and associated CV values for current (2018) model runs.

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Data from: Evolution of male courtship behavior among species of parasitoids in the genus Aphelinus (Hymenoptera: Aphelinidae)

Male courtship behavior among parasitoid species in the genus *Aphelinus* is compared. Logistic regression of species on courtship components of male behavior correctly classified males to species with 95 percent accuracy. Data are presented on parasitoid and host aphid species sampling locations, courtship behavior, and geographical patristic distance.

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Novel Hurricane Hypothesis Predicts US Cattle Fever Tick Outbreaks

Data and statistical analysis supporting a novel hypothesis concerning a connection between hurricane cycles and US Cattle Fever tick outbreaks.

Sorption Isotherm Spreadsheet

Spreadsheet from the paper entitled: On the Use of Linearized Langmuir Equations by C.H. Bolster and G.M. Hornberger, Soil Science Society of America Journal, 2007, 71(6): 1796-1806.

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ESAP

Statistical software package for estimating field scale spatial salinity patterns from electromagnetic induction signal data (for Windows XP)

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Stream Temperature Modeling and Monitoring: Air Temperature Based Thermal Stream Habitat Model

The Air Temperature Based Thermal Stream Habitat Model was originally developed from weather station information across the Columbia River basin in the Pacific Northwest. Multiple regression was used to predict mean annual air temperatures from elevation, latitude, and longitude with good success R^2 ~ 0.89). The model was developed as an alternative to PRISM data interpolations based on spline surface smoothing and should more accurately represent thermal conditions in stream valleys.

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Stream Temperature Modeling and Monitoring: Multiple Regression Stream Temperature Model

This simple Stream Temperature Modeling and Monitoring approach uses thermograph data and geomorphic predictor variables from GIS software and digital elevation models (DEM). Multiple regression models are used to predict stream temperature metrics throughout a stream network with moderate accuracy (R^2 ~ 0.65). The models can provide basic descriptions of spatial patterns in stream temperatures, suitable habitat distributions for aquatic species, or be used to assess temporal trends related to climate or management activities if multiple years of temperature data are available.

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