53 research outputs found

    Serengeti_Thomsons_Gazelle_Application_Data

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    Data for the manuscript "Identifying Drivers of Spatial Variation in Occupancy with Limited Replication Camera Trap Data", by Hepler, Staci; Erhardt, Robert; Anderson, T. Michael. Contains data from the Snapshot Serengeti camera trap study. The response variable 'Thomson's Gazelle' is a binary indicator of presence/absence based on the camera trap images. The variable information came from field work, with the exception of NDVI which is based on NASA's MODIS satellite

    Data for "Spatio-temporal Forecasting for the US Drought Monitor"

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    This dataset contains the data needed to implement the analysis in the paper "Spatio-temporal Forecasting for the US Drought Monitor" by Robert Erhardt, Staci Hepler, Daniel Wolodkin, and Andy Greene. The code to perform the analysis can be found here. This data contains observations on a 0.5 degree x 0.5 degree grid for the western United State - west of Nevada's eastern border. There is one observation for each grid location for each week beginning January 4, 2000 and ending June 15, 2021. The variables included are described below. Index variables:'time' is YYYYMMDD'grid' is an arbitrary naming convention based on lat/lon. Letters index lat, and numbers index lon. 'lon' is the longitude of the centroid for the grid cell'lat' is the latitude for the centroid for the grid cellUSDM variable:'drought' is a factor with levels 0, D0, D1, D2, D3, D4 and refer to the value of the US Drought MOnitor at the particular time and at the grid centroid.NOAA variables:'apcp' is weekly total precipitation in kg/m2'air' is surface air temperature'soilm' is soil moisture</p

    Police training - missing and murdered indigenous persons, 2023 legislative report

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    author - Staci Yutzie, Ed.D..Title from PDF cover (viewed on November 7, 2022)."During the 2022 Legislative Session, the Department of Public Safety Standards and Training (DPSST) was directed to submit a proposal to the appropriate interim committees on public safety outlining an operational plan for the provision of training for police officers concerning the investigation and reporting of cases involving missing or murdered Indigenous persons in this state. The plan needed to identify the method and cost of delivery, and the anticipated number of training hours of the training. [HB 4102A and HB 5202 Budget Notes]"--Page 2.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Mode of access: Internet from the Oregon Government Publications Collection.Text in English

    Basic police program equity assessment: 2022 legislative report

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    authors- Staci Yutzie, Ed.D. and Stephen James, Ph.D.Title from PDF cover (viewed on March 14, 2022).Covers OCLC #1303527586 and OCLC #1291409217."HB 2162 called for the Department of Public Safety Standards and Training (DPSST) to report to the Legislative Assembly no later than January 1, 2022, the number of additional instruction hours necessary to provide expanded equity training as part of the basic police training course"--Page 2.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Mode of access: Internet from the Oregon Government Publications Collection.Text in English

    Maintenance training for police certification, equity, 2023

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    HB 2162 Section 10 called for the Department of Public Safety Standards and Training (DPSST) to develop, and establish by rule, a statewide equity training program for police officers. This shall include the minimum training required to obtain and maintain basic certification as a police officer under ORS 181A.490. This report defines equity training for the purposes of police training in Oregon, identifies the required hours, and provides examples of training topics that would be considered equity training under this new rule.Introduction -- What is equity training? -- Why equity training? -- Required hours -- Suggested training topics.author: Staci Yutzie, Ed.D.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Mode of access: Internet from the Oregon Government Publications Collection.Text in English

    An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio

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    Opioid misuse is a national epidemic and a significant drug related threat to the United States. While the scale of the problem is undeniable, estimates of the local prevalence of opioid misuse are lacking, despite their importance to policy-making and resource allocation. This is due, in part, to the challenge of directly measuring opioid misuse at a local level. In this paper, we develop a Bayesian hierarchical spatio-temporal abundance model that integrates indirect county-level data on opioid-related outcomes with state-level survey estimates on prevalence of opioid misuse to estimate the latent county-level prevalence and counts of people who misuse opioids. A simulation study shows that our integrated model accurately recovers the latent counts and prevalence. We apply our model to county-level surveillance data on opioid overdose deaths and treatment admissions from the state of Ohio. Our proposed framework can be applied to other applications of small area estimation for hard to reach populations, which is a common occurrence with many health conditions such as those related to illicit behaviors.Comment: * Authors Hepler and Kline contributed equall

    Data from: Identifying drivers of spatial variation in occupancy with limited replication camera trap data

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    Occupancy models are widely used in camera trap studies to analyze species presence, abundance, and geographic distribution, among other important ecological quantities. These models account for imperfect detection using a latent variable to distinguish between true presence/absence and observed detection of a species. Under certain experimental setups, parameter estimation in a latent variable framework can be challenging. Several studies have issued guidelines on the number of independent replicated observations (surveys) needed for each unchanging occupancy field (season) to ensure reliable estimation. In this paper we present a spatio-temporal occupancy model, and show through a simulation study that it can be fit to data obtained from a \textit{single} survey per season, so long as the number of seasons is sufficiently large. We include an application using camera-trap data on the Thomson's gazelle in the Serengeti in Tanzania

    Oregon Plan for Salmon and Watersheds

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    Staci Stein, Trevan J. Cornwell, Kim K. Jones.Title from PDF title page (viewed on April 12, 2022).Covers OCLC #1310491306 and OCLC #1310490398.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references.This project was financed with funds from the Oregon Watershed Enhancement Board, Oregon Department of Fish and Wildlife, and U.S. Fish and Wildlife Service Contract 13420-8-J810.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
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