Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Silvia C Vega"'
Autor:
Huixiao Hong, Lei Xu, Jie Liu, Wendell D Jones, Zhenqiang Su, Baitang Ning, Roger Perkins, Weigong Ge, Kelci Miclaus, Li Zhang, Kyunghee Park, Bridgett Green, Tao Han, Hong Fang, Christophe G Lambert, Silvia C Vega, Simon M Lin, Nadereh Jafari, Wendy Czika, Russell D Wolfinger, Federico Goodsaid, Weida Tong, Leming Shi
Publikováno v:
PLoS ONE, Vol 7, Iss 9, p e44483 (2012)
During the last several years, high-density genotyping SNP arrays have facilitated genome-wide association studies (GWAS) that successfully identified common genetic variants associated with a variety of phenotypes. However, each of the identified ge
Externí odkaz:
https://doaj.org/article/f7b0abb5339e435fa63dd591f9847118
S+SPATIALSTATS is the first comprehensive, object-oriented package for the analysis of spatial data. Providing a whole new set of analysis tools, S+SPATIALSTATS was created specifically for the exploration and modeling of spatially correlated data. I
Autor:
Silvia C. Vega, Stephen P. Kaluzny
Publikováno v:
Wiley StatsRef: Statistics Reference Online.
Autor:
Silvia C. Vega, Stephen P. Kaluzny
Publikováno v:
Encyclopedia of Environmetrics.
Publikováno v:
S+SpatialStats ISBN: 9780387915241
This chapter introduces exploratory data analysis (EDA) and visualization techniques for spatial data in S-Plus and S+SpatialStats. EDA involves methods of describing data and its structure in order to formulate hypotheses and check the validity of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de9c9ae4fcb9c9efc2cba54ce7de8a1d
https://doi.org/10.1007/978-1-4615-7826-0_3
https://doi.org/10.1007/978-1-4615-7826-0_3
Publikováno v:
S+SpatialStats ISBN: 9780387915241
This chapter introduces functions available in S-Plus and S+SpatialStats for analyzing geostatistical data. Geostatistical data, also termed random field data, consist of measurements taken at fixed locations. For a complete description of geostatist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97000f5c54e768220311c7e49c87e0fa
https://doi.org/10.1007/978-1-4615-7826-0_4
https://doi.org/10.1007/978-1-4615-7826-0_4
Publikováno v:
S+SpatialStats ISBN: 9780387915241
This chapter introduces procedures available in S+SpatialStats for analyzing and modeling lattice data. Lattice data are observations from a random process observed over a countable collection of spatial regions, and supplemented by a neighborhood st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ad6869467db0891f843c7852addfbe9
https://doi.org/10.1007/978-1-4615-7826-0_5
https://doi.org/10.1007/978-1-4615-7826-0_5
Publikováno v:
S+SpatialStats ISBN: 9780387915241
S+SpatialStats is an add-on module to the S-Plus system for data analysis and graphics. S+SpatialStats provides a comprehensive suite of tools designed for the statistical analysis of spatial data. In this chapter you will be introduced to the follow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d2c95b172d5854f2d1eefcf8ce3c58b
https://doi.org/10.1007/978-1-4615-7826-0_1
https://doi.org/10.1007/978-1-4615-7826-0_1
Publikováno v:
S+SpatialStats ISBN: 9780387915241
If you have used S-Plus before, getting started with S+SpatialStats is easy; just start S-Plus, attach the S+SpatialStats module, and begin learning how to use the S+SpatialStats functions—a set of S-Plus functions for visualizing and analyzing spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::978f976272c69a37b83b05e972cade33
https://doi.org/10.1007/978-1-4615-7826-0_2
https://doi.org/10.1007/978-1-4615-7826-0_2
Publikováno v:
S+SpatialStats ISBN: 9780387915241
This chapter introduces the Geographic Information System (GIS) user to functions in S-Plus and S+SpatialStats that may be used for the analysis of spatial data from a GIS database. The main features of S+SpatialStats are illustrated through specific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdd8de00f39880760892a4c48d04c327
https://doi.org/10.1007/978-1-4615-7826-0_7
https://doi.org/10.1007/978-1-4615-7826-0_7