bruce hewitson (8 risultati)

Soft cover. Condizione: Good. Underlining on one page only. All other pages are clean and unmarked. Some pages have a bent and/or creased corner and some have a few wrinkles near the bottom edge. Exterior covers are just slightly dust soiled. There is a checkmark in pencil on one of the articles listed on the back cover. Spine and adjacent parts of the front and back covers are discolored (lightened, in this case) by exposure to sunlight. Slight wear to edges of covers and spine. Lower right corner of the front cover is creased and top right corner of the same cover is bent. The journal will be bubble-wrapped and carefully packed in a sturdy box to ensure safe transit. This issue includes: "Predictability of Seasonal Atmospheric Variations" by C. Brankovic, T.N. Palmer, and L. Ferranti; "A Stochastic Precipitation Disaggregation Scheme for GCM Applications" by Xiaogang Gao and Soroosh Sorooshian; "Interrelationships between Cloud Properties and Sea Surface Temperatures on Seasonal and Interannual Time Scales" by Bryan C. Weare; "Studies of African Wave Disturbances with the GISS GCM" by Leonard M. Dryan and Timothy M. Hall; "A Comparison of Temperature-Precipitation Relationships from Observations and As Modeled by the General Circulation Model of the Canadian Climate Centre" by R.A. Stuart and G.A. Isaac; "Regional Climates in the GISS General Circulation Model: Surface Air Temperature" by Bruce Hewitson; "The Effect of Moisture on Layer Thicknesses Used to Monitor Global Temperatures" by W.P. Elliott, D.J. Gaffen, J.D.W. Kahl, and J.K. Angell; "Global Shortwave Energy Budget at the Earth's Surface from ERBE Observations" by Francoise-Marie Breon, Robert Frouin, and Catherine Gautier; "Analysis of the Global ISCCP TOVS Water Vapor Climatology" by Ian L. Wittmeyer and Thomas H. Vonder Haar; "The Global Climate of June-August 1992: Warm ENSO Episode Decays and Colder Than Normal Conditions Dominate the Northern Hemisphere" by Kingtse C. Mo and Xueliang Wang.

Hardcover. Condizione: Good. Condizione sovraccoperta: No Dust Jacket. First Edition. An ex-library copy in laminated pictorial hard covers, with the usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. No dust jacket, apparently as issued. Book.

Paperback. Condizione: Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock.

Hardcover. Condizione: Brand New. 212 pages. 10.00x6.75x0.75 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural nets offer a fascinating new strategy for spatial analysis, and their application holds enormous potential for the geographic sciences. However, the number of studies that have utilized these techniques is limited. This lack of interest can be attributed, in part, to lack of exposure, to the use of extensive and often confusing jargon, and to the misapprehension that, without an underlying statistical model, the explanatory power of the neural net is very low. Neural Nets: Applications for Geography attacks all three issues; the text demonstrates a wide variety of neural net applications in geography in a simple manner, with minimal jargon. The volume presents an introduction to neural nets that describes some of the basic concepts, as well as providing a more mathematical treatise for those wishing further details on neural net architecture. The bulk of the text, however, is devoted to descriptions of neural net applications in such broad-ranging fields as census analysis, predicting the spread of AIDS, describing synoptic controls on mountain snowfall, examining the relationships between atmospheric circulation and tropical rainfall, and the remote sensing of polar cloud and sea ice characteristics. The text illustrates neural nets employed in modes analogous to multiple regression analysis, cluster analysis, and maximum likelihood classification. Not only are the neural nets shown to be equal or superior to these more conventional methods, particularly where the relationships have a strong nonlinear component, but they are also shown to contain significant explanatory power. Several chapters demonstrate that the nets themselves can be decomposed to illuminate causative linkages between different events in both the physical and human environments.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Browne Nana Ama KumNana Ama Kum Browne holds a PhD in Climatology. Her research interest is in Climate variability and Climate Change. She is a lecturer at the Department of Physics, University of Cape Coast, Ghana. She is a coordina.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Neural nets offer a fascinating new strategy for spatial analysis, and their application holds enormous potential for the geographic sciences. However, the number of studies that have utilized these techniques is limited. This lack of interest can be attributed, in part, to lack of exposure, to the use of extensive and often confusing jargon, and to the misapprehension that, without an underlying statistical model, the explanatory power of the neural net is very low. Neural Nets: Applications for Geography attacks all three issues; the text demonstrates a wide variety of neural net applications in geography in a simple manner, with minimal jargon. The volume presents an introduction to neural nets that describes some of the basic concepts, as well as providing a more mathematical treatise for those wishing further details on neural net architecture. The bulk of the text, however, is devoted to descriptions of neural net applications in such broad-ranging fields as census analysis, predicting the spread of AIDS, describing synoptic controls on mountain snowfall, examining the relationships between atmospheric circulation and tropical rainfall, and the remote sensing of polar cloud and sea ice characteristics. The text illustrates neural nets employed in modes analogous to multiple regression analysis, cluster analysis, and maximum likelihood classification. Not only are the neural nets shown to be equal or superior to these more conventional methods, particularly where the relationships have a strong nonlinear component, but they are also shown to contain significant explanatory power. Several chapters demonstrate that the nets themselves can be decomposed to illuminate causative linkages between different events in both the physical and human environments. 212 pp. Englisch.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.