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Monica Ann Pilat, Amy McFarland, Amy Snelgrove, Kevin Collins, Tina Marie Waliczek, and Jayne Zajicek

State Health Services. Asthma data were mapped into the MSAs of Texas to understand the areas of correspondence (E. Pimpler, personal communication) according to Geographic Information System (GIS) specialist at Geospatial Training Services. Of the 25

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Angela Knerl, Brendon Anthony, Sara Serra, and Stefano Musacchi

in an upland rainforest. Proc. 2012 Geospatial Sci. Res. Symp. GSR2 Wünsche, J.N. Lakso, A.N. Robinson, T.L. 1995 Comparison of four methods for estimating total light interception by apple trees of varying forms HortScience 30 272 276 Wünsche, J

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Joshua Knight, Dewayne L. Ingram, and Charles R. Hall

product weighted temporally and geospatially characterized by the water scarcity indices calculated by the AWARE method ( Boulay et al., 2017 ) for each month of water use in the watershed. WF is the sum of four components: embodied water, green water

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Bernadine C. Strik, Amanda J. Davis, David R. Bryla, and Scott T. Orr

. Imagery was processed into an orthomosaic of each spectrum using geospatial software (Pix4D S.A., Prilly, Switzerland) and imported into ArcGIS for analysis (ESRI, Redlands, CA). A modified version of the normalized difference vegetation index (NDVI) was

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Nicolas Tremblay, Edith Fallon, and Noura Ziadi

also considered by Tremblay et al. (2010) together with plant status information may have led to a better result than for Pfeffer et al. (2010) . Complementary terrain features to crop status assessment Geospatial measurement of EC a ( Table 1 ) is

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Mark P. Widrlechner, Christopher Daly, Markus Keller, and Kim Kaplan

high-resolution geographic datasets for a broad range of geospatial analyses. For example, Widrlechner et al. (1992) published a regression equation for predicting the survival of Yugoslavian woody plants in the north-central United States in terms of

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Jiankun Ge, Linfeng Zhao, Xuewen Gong, Zhiqiang Lai, Seydou Traore, Yanbin Li, Hui Long, and Lei Zhang

Assessment of spatiotemporal variability of reference evapotranspiration and controlling climate factors over decades in China using geospatial techniques Agr. Water Mgt. 213 499 511 doi: 10.1016/j.agwat.2018.09.037 Zou, Z.R. Li, Q.M. He, Z

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were detected using GPS simulations for yield monitor data. Test plot Data was analyzed using GeoStatistical and GeoSpatial methods. Data points were converted to centroids using SSTool Box and Geostatistical and GeoSpatial analysis was accomplished

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Department of Natural Resources, the Georgia Plant Conservation Alliance, the Georgia GIS Data Clearinghouse, several Georgia Regional Development Centers, and the USDA Natural Resource Conservation Service Geospatial Data Gateway using ESRI ArcGIS software