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1 dential location of each participant using a geographic information system.
2 abitat models with logistic regression and a geographic information system.
3 ssions near participants' residences using a geographic information system.
4 tion of community cases was analysed using a geographic information system.
5 ve time and roadway distance as predicted by geographic information systems.
6 and street connectivity) were created using geographic information systems.
7 lation, industry, natural land obtained from geographic information systems.
8 ables were derived around addresses by using geographic information systems.
9 e conducted, and households were mapped with geographic information systems.
10 intersections and then interpolated by using geographic information systems.
11 each participant's residential address with geographic information systems.
20 r treatment plant operations into a combined geographic information systems and optimization approach
23 obtained from other sources such as sensors, geographic information systems, and conventional tools s
28 ng environment, social cohesion, safety, and geographic information system-based density of favorable
29 itrogen (NOX; 1999 onwards), predicted via a geographic information systems-based spatiotemporal smoo
31 hysiologically based demographic models in a geographic information system context as driven by daily
33 th cohort study data were linked to detailed geographic information systems data characterizing 2001
34 precise digital surveying tools linked to a geographic information system developed to control on-si
35 nical measures were linked to metrics from a geographic information system for each patient's address
36 missions compared to regional ones, we added geographic information system (GIS) predictors into the
38 transformed into a large-format map by using geographic information system (GIS) techniques and carto
39 ally defined hyperendemic areas, or "cores." Geographic information system (GIS) technology offers ne
41 ructed image was determined by both standard geographic information system (GIS) validation statistic
47 For 1,529 children with spirometry, overall geographic information system (GIS)-modeled residential
51 field data and predictor variables stored as Geographic Information Systems (GIS) data to generate ca
52 ance (NETSS) data from 1998 to 2001 and used Geographic Information Systems (GIS) to map high-inciden
55 acities of computer technology, particularly Geographic Information Systems, have allowed political p
56 C and delta(18)O values were related to GIS (Geographic Information System) layers of source water de
57 Minimal information exists on the use of geographic information systems mapping for visualizing a
60 von Thunen land rent model is combined with geographic information systems mapping to demonstrate ho
62 maternal residences during pregnancy using a geographic information system, residential location, and
65 This article demonstrates the application of geographic information system technology to track vaccin
66 ing plans, and some states have tried to use Geographic Information Systems technology to produce mor
67 lidated an exposure assessment tool based on geographic information systems that integrated informati
69 esticide Use Reporting system, we employed a geographic information system to estimate the amount of
70 Environmental variables were defined using a geographic information system to extract distances to ar
72 dicators of neighborhood vulnerability and a geographic information system to map vulnerability and r
73 dicators of neighborhood vulnerability and a geographic information system to map vulnerability and r
75 tes, the authors developed a procedure using geographic information system tools to assign subjects'
79 e-forward logistic regression modeling and a geographic information system were utilized to assess da
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