1 Geospatial accuracy varied, depending on the scale: More
2 Sensitivity, positive predictive value, and
geospatial accuracy were compared.
3 Using
geospatial analyses and stakeholder interviews, we quant
4 We use field measurements and
geospatial analyses to characterize carbon dynamics in t
5 using field, laboratory, spectroscopic, and
geospatial analyses, we propose that natural pedogenetic
6 This type of spatially explicit
geospatial analysis can be expanded to include other eco
7 In
geospatial analysis of 85 populations, a genetic risk sc
8 ants (WWTPs), and to date, there has been no
geospatial analysis of the feasibility of collocating la
9 erability to legacy nutrients may be made by
geospatial analysis of watersheds with high nitrogen inp
10 January 2010, we piloted the application of
geospatial analysis to polio supplementary immunization
11 We combined
geospatial and molecular sequence data from two public a
12 Chl) observations from the Lake Multi-Scaled
Geospatial and Temporal Database of the Northeast U.S. (
13 Here, we couple climate,
geospatial,
and province-level census data, with farmer
14 This
geospatial approach can be used to define a protocol for
15 ility to tsunami hazards that integrates (i)
geospatial approaches to identify the number and charact
16 Using
geospatial autocorrelation methods, we defined county-le
17 ore the complex interplay between social and
geospatial behavior, documenting how the formation of co
18 This paper expands on the
Geospatial Bioenergy Systems Model (GBSM) to evaluate th
19 enting five life stages, to evaluate whether
geospatial,
climate, and measured plot covariates predic
20 t spreadsheet that captures the temporal and
geospatial context of each biosample.
21 rces to ascertain seasonality, function, and
geospatial coordinates.
22 Using high-resolution
geospatial data and modeling, we construct probabilistic
23 of contiguous households and indicated that
geospatial data can improve microplanning and provide ne
24 =65 years in Philadelphia, Pennsylvania, and
geospatial data from the Esri Business Analyst database
25 Through
geospatial data fusion, we are able to combine very fine
26 Using government statistics and
geospatial data on natural gas use, we find the average
27 The
Geospatial Data Quality API is part of the VertNet set o
28 The application of
geospatial data to public health problems has expanded s
29 ogical basis, relies on nationally available
geospatial data, and mines existing biological datasets.
30 Using
geospatial data, LRiMM quantifies financial responsibili
31 A
geospatial database was constructed to delineate surface
32 addresses from the 2008 Boston Youth Survey
Geospatial Dataset (n = 1,292).
33 Geospatial datasets on possible influencing factors are
34 The
geospatial distribution of risk alleles is highly sugges
35 Geospatial epidemiology was used to define ecological as
36 of SOM as a new tool in paleoclimatology or
geospatial forensics.
37 ent parameters, spanning multiple layers and
geospatial frames, affected by complex dynamic processes
38 onomic and state-policy factors in a unified
geospatial framework, we analyzed the spatial incidence
39 he marked undercount of food outlets and the
geospatial inaccuracies observed have the potential to i
40 Using
geospatial information from 39,785 IAV strains, we exami
41 The importance of this
geospatial innovation is demonstrated with newly acquire
42 tics on data sets compiled from the National
Geospatial-
Intelligence Agency and the National Aeronaut
43 onym resolution is possible by improving the
geospatial location detection.
44 Geospatial mapping showed that the overall prevalence of
45 Here, we use
geospatial mapping to enumerate the percentage of a nati
46 Geospatial mapping was used to identify the population l
47 etween GPRS and GPRS+SMS periods and created
geospatial maps to graphically demonstrate patterns of c
48 oordinates recorded and were included in the
geospatial maps.
49 databases such as GenBank and examining the
geospatial metadata in the record.
50 ul resource to phylogeographers that rely on
geospatial metadata of GenBank sequences.
51 Geospatial methods using mathematical optimization to id
52 es of the participants using a 3-dimensional
geospatial model (NISMap).
53 The
geospatial model identified EVOOs from four distinct are
54 ne lifetime residence, which was linked to a
geospatial model of arsenic concentrations in drinking w
55 A
geospatial model of delta(18)O and delta(13)C was develo
56 Many
geospatial modeling approaches, however, are not designe
57 We used stable H and C isotopes and
geospatial modeling to estimate the natal origin of mona
58 We used airborne imaging spectroscopy and
geospatial modeling to generate, to our knowledge, the f
59 We use national census data, ArcGIS
geospatial modeling, and statistical analysis to determi
60 rt, in Sabadell, Spain, using biomonitoring,
geospatial modeling, remote sensors, and questionnaires.
61 Here we use
geospatial modelling and optimization techniques to comp
62 py traits revealed functional variation in a
geospatial pattern explained by geology, topography, hyd
63 future public health efforts, we analyze the
geospatial pattern of measles transmission across China
64 However, the extent to which
geospatial patterns of isotope ratios in avian tissues a
65 flecting higher vector indices and following
geospatial patterns of West Nile virus in prior years.
66 We present a REST web service to assess the
geospatial quality of primary biodiversity data.
67 scale in complex systems with an approximate
geospatial range of 3 mum in these samples.
68 onatal mortality rates at multiple levels of
geospatial resolution over time, this study provides key
69 levels 1 and 2-to provide the full range of
geospatial resolution that local, national, and global d
70 We used
geospatial scan statistics, SaTScan, version 9.4, to ana
71 Using
geospatial science as an example, this paper illustrates
72 water sources were mapped using open-source
geospatial software.
73 We used a
geospatial sound model to estimate census block group-le
74 hylogenetic community analyses (UniFrac) and
geospatial statistics (semivariograms, mantel tests), we
75 tem provides an integrated investigative and
geospatial surveillance system connecting pathogens, pat
76 These results indicate that
geospatial techniques and molecular gut content analysis
77 Geospatial technologies enable past cultural activities
78 mechanistically informed models, and hourly
geospatial temperature data.
79 es that changed, we found differences in the
geospatial variables that were most related to the obser
80 In this study, we describe the
geospatial variation in the incidence of multiple sclero
81 Geospatial visualization tools assist in the evaluation