Classes for Spatial Data in R

Bivand, Roger; Pebesma, Edzer; Gómez‐Rubio, Virgilio

doi:10.1007/978-1-4614-7618-4_2

Cited by 163 publications

(186 citation statements)

References 8 publications

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“…Range maps were constructed as in Onuferko (2017) in RStudio (version 1.0.44) using the packages maptools (Bivand and Lewin-Koh 2014), raster (Hijmans 2014), rgdal (Bivand et al 2014), and rgeos (Bivand and Rundel 2014) installed in R (version 3.3.2) (R Core Team 2016). The shapefiles used to plot projected maps of Canada, Mexico, and the USA were obtained from Statistics Canada (2015), DIVA-GIS (http://www.diva-gis.org/gdata), and the US Census Bureau (2015), respectively.…”

Section: Methodsmentioning

confidence: 99%

A revision of the cleptoparasitic bee genus Epeolus Latreille for Nearctic species, north of Mexico (Hymenoptera, Apidae)

Onuferko¹

2018

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Herein, the cleptoparasitic (cuckoo) bee genus Epeolus (Hymenoptera: Apidae) is revised for species occurring in North America, north of Mexico, and an updated checklist of all species known to occur in Canada and the United States of America is provided with comprehensive descriptions, diagnoses, and a single dichotomous key (using the same couplets for both sexes) to aid in their identification. To increase their recognition among North American naturalists, English common names are also proposed for all North American Epeolus. A total of 43 species is confirmed as present in the region, 15 of which are newly recognized. The following new species are proposed based on unique morphological (and in most cases also molecular) attributes: E. andriyi sp. n., E. attenboroughi sp. n., E. axillaris sp. n., E. basili sp. n., E. brumleyi sp. n., E. chamaesarachae sp. n., E. deyrupi sp. n., E. diadematus sp. n., E. ferrarii sp. n., E. gibbsi sp. n., E. inornatus sp. n., E. nebulosus sp. n., E. packeri sp. n., E. splendidus sp. n., and E. tessieris sp. n. Of the 15, six (E. axillaris, E. brumleyi, E. chamaesarachae, E. diadematus, E. splendidus, and E. tessieris) were identified as new species under different names (nomina nuda) in an M.Sc. thesis by Richard L. Brumley in 1965, but until now they have not been formally described. Detailed morphological comparisons with some evidence from DNA barcoding support the following synonymies, one of which C was first proposed by Brumley (1965): a) E. melectimimus Cockerell and Sandhouse, syn. n., under E. asperatus Cockerell; b) E. crucis Cockerell, syn. n., under E. compactus Cresson; c) E. mesillae palmarum Linsley, syn. n., under E. mesillae (Cockerell); and d) E. weemsi Mitchell, syn. n., and e) E. vernalis Mitchell, syn. n., under E. ilicis Mitchell. Only one member of the almost entirely Neotropical “Trophocleptria group” (Epeolus bifasciatus Cresson) is confirmed as occurring north of Mexico, and is widespread East of the Rocky Mountains. Known floral associations are indicated for each species, as are suspected or known host species of Colletes Latreille. Evidence is presented that suggests further investigation into the possible synonymy of Colletes wickhami Timberlake under C. scopiventer Swenk is warranted.

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Section: Methodsmentioning

confidence: 99%

A revision of the cleptoparasitic bee genus Epeolus Latreille for Nearctic species, north of Mexico (Hymenoptera, Apidae)

Onuferko¹

2018

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“…We calculated Euclidian distances among transects based on latitude, longitude, and depth ('vegdist' function in R;Oksanen 2004). We grouped transects with hierarchical cluster analysis using Ward's method and cut the tree at 60 groups ('hclust' function in R; Maechler et al 2012) based on visual examination of the spatial arrangements of the groups and global Moran's test for spatial autocorrelation of both transect locations and coral density simultaneously ('moran.test' function in R; Bivand et al 2012). We chose the largest number of transect groups (n = 60) which did not exhibit a significantly clustered spatial pattern as our sample units.…”

Section: Resultsmentioning

confidence: 99%

Environmental factors that influence the distribution, size, and biotic relationships of the Christmas tree coral Antipathes dendrochristos in the Southern California Bight

Huff¹,

Yoklavich²,

Love³

et al. 2013

Mar. Ecol. Prog. Ser.

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The Christmas tree coral Antipathes dendrochristos is a recently discovered black coral species that represents a habitat associated with numerous sensitive taxa in the Southern California Bight. We evaluated whether broad-scale oceanographic features influence coral density and size by selecting from among generalized additive models (for density) and generalized linear models (for size) that represented competing hypotheses. We constructed models to predict coral density and size using depth, seafloor slope, surface primary productivity, bottom currents, ocean temperature, salinity, and dissolved oxygen as candidate covariates. Specifically, we evaluated hypothesized links between pelagic production and benthic coral utilization and between bottom currents and larval coral dispersal. Our analysis revealed that high surface primary productivity in combination with depth and January currents are important predictors of Christmas tree coral density. Higher coral density coincided with greater chlorophyll persistence and optimal depths near 400 m. Surface productivity increasingly was associated with Christmas tree corals at shallower depths. Our results supported the hypothesis that ocean currents affect coral density via larval dispersal mechanisms. The selected coral size models responded to similar covariates, corroborating coral density results. Fish and invertebrate ordinations indicated that Christmas tree corals were widely distributed across environmental gradients and that Christmas tree corals cooccurred with several demersal fish and invertebrates. Several predicted coral hotspots remain unprotected from fishing, particularly in areas adjacent to highly populated portions of the Southern California Bight. These regions should be targeted by future studies to confirm the presence of Christmas tree coral communities and to evaluate their vulnerability.

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“…Simulation algorithms currently used in mining are more appropriate than ordinary kriging to deal with matters related to data variability. Mine production plans, scheduling, and blending strategies require knowledge of the dispersion of relevant geological attributes [8,14]. Fluctuations in mining engineering and geochemical attributes of interest are also relevant for mine design and production scheduling.…”

Section: Simulation Methodsology Of Coal Quality Controlmentioning

confidence: 99%

Application of stochastic models for mine planning and coal quality control

Stevanović¹,

Kolonja²,

Stanković³

et al. 2014

THERM SCI

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The power plant owner is interested to know in advance the quality of coal to be burnt which should meet maximal efficiency of power plant and the environmental regulations. There is the need to control and to predict the quality of coal at the mine site to meet sulfur emission requirements. Coal quality control between the mine site and the utility plant is a complex problem owing to the variable nature of coal properties (heating value, sulfur, ash), even within the same coal seam. Due to the fluctuation of the coal quality, mine planning and coal homogenization are in fact an optimization problem under uncertain conditions. To deal with these issues a stochastic optimization model is developed for an illustrative coal homogenization problem. Mining block grades from an optimized mining schedule are used to simulate any given homogenization process in stockpiles throughout the mine's life. Sulfur content is treated as lognormally distributed random variable. The objectives of the model include minimizing the expected sulfur content and standard deviation in sulfur content. The methodology was illustrated using the case study on Kolubara surface coal mine.

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Classes for Spatial Data in R

Cited by 163 publications

References 8 publications

A revision of the cleptoparasitic bee genus Epeolus Latreille for Nearctic species, north of Mexico (Hymenoptera, Apidae)

A revision of the cleptoparasitic bee genus Epeolus Latreille for Nearctic species, north of Mexico (Hymenoptera, Apidae)

Environmental factors that influence the distribution, size, and biotic relationships of the Christmas tree coral Antipathes dendrochristos in the Southern California Bight

Application of stochastic models for mine planning and coal quality control

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