Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bradley A. Shellito"'
Autor:
Thomas R. Allen, Bradley A. Shellito
Publikováno v:
Geocarto International. 23:311-325
Remote sensing can augment traditional methods of mosquito species surveillance for arboviruses. Abundance and patterns of mosquito vectors of West Nile virus in Chesapeake, Virginia, USA, were studied using light trap collection data and a Landsat-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c921375464efcca5fc5869baf9a331c
https://doi.org/10.1080/10106040801953488
https://doi.org/10.1080/10106040801953488
Publikováno v:
International Journal of Geographical Information Science. 19:197-215
We parameterized neural net‐based models for the Detroit and Twin Cities metropolitan areas in the US and attempted to test whether they were transferable across both metropolitan areas. Three different types of models were developed. First, we tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8a59608083d030f9c6b5943e230feb6
https://doi.org/10.1080/13658810410001713416
https://doi.org/10.1080/13658810410001713416
Publikováno v:
Tourism Analysis. 9:167-178
In April 2002, the city council of Virginia Beach, Virginia, passed new regulations allowing hotels located at the oceanfront resort area to grow to a maximum height of 200-feet tall, up from the previous height of 100 feet. This article is an invest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bec2f25846c1f58f6f1d244100918df7
https://doi.org/10.3727/1083542042781195
https://doi.org/10.3727/1083542042781195
Publikováno v:
Computers, Environment and Urban Systems. 26:553-575
The Land Transformation Model (LTM), which couples geographic information systems (GIS) with artificial neural networks (ANNs) to forecast land use changes, is presented here. A variety of social, political, and environmental factors contribute to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80995538a81a5f9951e80f076e64a565
https://doi.org/10.1016/s0198-9715(01)00015-1
https://doi.org/10.1016/s0198-9715(01)00015-1
Publikováno v:
Lakes & Reservoirs: Science, Policy and Management for Sustainable Use. 7:271-285
The Land Transformation Model (LTM), which has been developed to forecast urban-use changes in a grid-based geographical information system, was used to explore the consequences of future urban changes to the years 2020 and 2040 using non-urban spraw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ec10b88d82655e33c0d67b4e8bdea27
https://doi.org/10.1046/j.1440-1770.2002.00203.x
https://doi.org/10.1046/j.1440-1770.2002.00203.x
Autor:
Bradley A. Shellito, Alina Lazar
Support Vector Machines (SVM) are powerful tools for classification of data. This article describes the functionality of SVM including their design and operation. SVM have been shown to provide high classification accuracies and have good generalizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f4941e1ae94fac485dd190253018788
https://doi.org/10.4018/978-1-59140-995-3.ch014
https://doi.org/10.4018/978-1-59140-995-3.ch014
Autor:
Alina Lazar, Bradley A. Shellito
Publikováno v:
ICMLA
This project examines the effectiveness of two classification schema: support vector machines (SVM), and artificial neural networks (NN) when applied to geographic (i.e. spatial) data. The context for this study is to examine patterns of urbanization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dad0525b16b12b220c68df523d44ea2
https://doi.org/10.1109/icmla.2005.16
https://doi.org/10.1109/icmla.2005.16