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Spatial Interpolation for Climate Data by Hartwig Dobesch,Pierre Dumolard,Izabela Dyras Pdf
This title gives an authoritative look at the use of Geographical Information Systems (GIS) in climatology and meterology. GIS provides a range of strategies, from traditional methods, such as those for hydromet database analysis and management, to new developing methods. As such, this book will provide a useful reference tool in this important aspect of climatology and meterology study.
Spatial Interpolation for Climate Data by Hartwig Dobesch,Pierre Dumolard Pdf
This book is made up of a selection of papers presented during the COST European program OC The use of GIS in climatology and meteorologyOCO in which members of 20 countries participated. It focuses on applications of geographic software and data to interpolate climate and meteorology parameters and is divided into four parts: 1. GIS for climatology and meteorology, 2. Spatial interpolation of climate parameters, 3. Some demo projects of national meteorology institutes, 4. Meteorology and climatology for some environmental problems. Each of these is introduced by one or two overviews and is illustrated by practical applications."
Interpolation of Spatial Data by Michael L. Stein Pdf
A summary of past work and a description of new approaches to thinking about kriging, commonly used in the prediction of a random field based on observations at some set of locations in mining, hydrology, atmospheric sciences, and geography.
Agricultural Risk Transfer by Roman Marco Hohl Pdf
Gain a holistic view of agricultural (re)insurance and capital market risk transfer Increasing agricultural production and food security remain key challenges for mankind. In order to meet global food demand, the Food and Agriculture Organisation estimates that production has to increase by 50% by 2050 and requires large investments. Agricultural insurance and financial instruments have been an integral part to advancing productivity and are becoming more important in increasingly globalized and specialized agricultural supply chains in the wake of potentially more frequent and severe natural disasters in today’s key producing markets. Underwriting, pricing and transferring agricultural risks is complex and requires a solid understanding of the production system, exposure, perils and the most suitable products, which vastly differ among developed and developing markets. In the last decade, new insurance schemes in emerging agricultural markets have greatly contributed to the large growth of the industry from a premium volume of US$10.1 billion (2006) to US$30.7 billion (2017). This growth is bound to continue as insurance penetration and exposure increase and new schemes are being developed. Agricultural (re)insurance has become a cornerstone of sovereign disaster risk financing frameworks. Agricultural Risk Transfer introduces the main concepts of agricultural (re)insurance and capital market risk transfer that are discussed through industry case studies. It also discusses best industry practices for all main insurance products for crop, livestock, aquaculture and forestry risks including risk assessment, underwriting, pricing, modelling and loss adjustment. Describes agricultural production risks and risk management approaches Covers risk transfer of production and financial risks through insurance and financial instruments Introduces modelling concepts for the main perils and key data sources that support risk transfer through indemnity- and index-based products Describes risk pricing and underwriting approaches for crop, livestock, aquaculture and forestry exposure in developed and developing agricultural systems Become familiar with risk transfer concepts to reinsurance and capital markets Get to know the current market landscape and main risk transfer products for individual producers, agribusinesses and governments through theory and comprehensive industry case studies Through Agricultural Risk Transfer, you’ll gain a holistic view of agricultural (re)insurance and capital market solutions which will support better underwriting, more structured product development and improved risk transfer.
A Geographic Information System Approach for Mapping and Assessing the Climate Change by Mohamed A. Nasef Pdf
During the last year's great efforts have been made to study the climate change, which the temperature changes are the main cause to it. Therefore, efforts have increased to solve these problems; methods for investigating the means variances, anomalies, trends changes, and likely threats. This book is produced to discuss the approach of GIS in the analysis of climate change data. At a time when talking about GIS technique, we mean "toward the best world" by solving the problems and protecting our planet. The book shows the approach and methodology of GIS in mapping and assessing climate change trends. Geographical Information Science and System (GIS) can be a powerful tool for analyzing the climate change problem and determining of the Affecting Factors. The book comprises many of topics such as climate change concepts, History, and Future, GIS concepts, approach and methodology in Exploration of Temperature Data, Geostatistical analysis, interpolation methods, spatial and temporal analysis of temperature trends.
Proceedings of the 2015 International Conference on Materials Engineering and Environmental Science (MEES2015) by International Conference on Materials Engineering and Environmental Science,Qingzhou Xu Pdf
"This book consists of one hundred and nine selected papers presented at the 2015 International Conference on Materials Engineering and Environmental Science (MEES2015), which was successfully held in Wuhan, China during September 25-27, 2015. All papers selected for this proceedings were subjected to a rigorous peer-review process by at least two independent peers. The papers were selected based on innovation, organization, and quality of presentation. The MEES2015 covered a wide spectrum of research topics, ranging from fundamental studies, technical innovations, to industrial applications in Chemical Material and Chemical Processing Technology, Composite Materials, Alloy Materials and Metal Materials, Characteristics of Materials, Building Material and Construction Technology, Ecology and Environment, Technology for Environmental Protection, Economy and Environment, Mechanical and Control Engineering, and Manufacturing Technology. The MEES2015 brought together more than one hundred researchers from China, South Korea, Taiwan, Japan, Malaysia, and Saudi Arabia, and provided them with a forum to share, exchange and discuss new scientific development and future directions of Materials Engineering and Environmental Science."--Provided by publisher
Applied Spatial Data Analysis with R by Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio Pdf
Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.
Empirical-statistical Downscaling by Rasmus E. Benestad,Inger Hanssen-Bauer,Deliang Chen Pdf
Empirical-statistical downscaling (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic conditions. ESD has been applied to local climate/weather studies for years, but there are few ? if any ? textbooks on the subject. It is also anticipated that ESD will become more important and commonplace in the future, as anthropogenic global warming proceeds. Thus, a textbook on ESD will be important for next-generation climate scientists.
Handbook on climate information for farming communities – What farmers need and what is available by Food and Agriculture Organization of the United Nations Pdf
The content of this guide is twofold: to describe the most important weather and agroclimatic products that are available by the National Meteorological Service (NMS) and to identify the most important needs of farmers concerning climate information. Special consideration will be given to the local knowledge used by rural farmers, too often neglected, but a key factor to their ability to cope with climate variability and change. An additional objective of this guide is to improve communication among the NMS staff, in particular, meteorologists and agrometeorologists and to encourage Agro-Pastoral Field School (APFS) trainers and facilitators to be more aware of their respective availability. Furthermore, one of the most important aims is the exchange of agroclimatic information that corresponds to the needs of all concerned, thus facilitating the assessment of the existing climatic risks in farming activities. The integration of the Response Farming in Rainfed Agriculture (RF) approach into Farmer Field School (FFS) is feasibly an effective way to reconcile NMS products with the needs of farmers. RF is a method used for identifying and quantifying rainfall variability at a local level to assess the climatic risks of farming communities. The Climate-Responsive Farming Management (CRFM) approach is an enhanced version of RF that uses modern and digital technologies, such as specific computer software, automatic weather stations, real-time telecommunication and smartphone applications. This approach can be implemented at a minimum cost at the farming level.The integration of the Response Farming in Rainfed Agriculture (RF) approach into FFS is feasibly an effective way to reconcile NMS products with the needs of farmers. RF is a method used for identifying and quantifying rainfall variability at a local level to assess the climatic risks of farming communities. The Climate-Responsive Farming Management (CRFM) approach is an enhanced version of RF that uses modern and digital technologies, such as specific computer software, automatic weather stations, real-time telecommunication and smartphone applications. This approach can be implemented at a minimum cost at the farming level.
1.1 Overview V ARIOWIN 2.2 is a collection of four WindowsTM programs - Prevar2D, Vari02D with PCF, Model, and Grid Display - that are used for spatial data analysis and variogram modeling of irregularly spaced data in two dimensions. Prevar2D builds a pair comparison file (PCF), that is, a binary file containing pairs of data sorted in terms of increasing distance. Pair comparison files can be built from subsets in order to reduce memory requirements. Vari02D with PCF is used for spatial data analysis of 2D data. It uses an ASCII data file and a binary pair comparison file produced by Prevar2D. Features implemented in Vari02D with PCF include: • the possibility to characterize the spatial continuity of one variable or the joined spatial continuity of two variables, • variogram surfaces for identifying directions of anisotropies, • directional variograms calculated along any direction, • several measures of spatial continuity. Not only the variogram but also the standardized variogram, the covariance, the correlogram, and the madogram are used to measure spatial continuity. • h-scatterplots to assess the meaning of these measures, • the identification and localization of pairs of data adversely affecting the measure of spatial continuity. Once identified, these pairs can be masked from the calculation interactively. • variogram clouds for identifying pairs of data values having the most influence on the measure of spatial continuity. Those pairs can also be located on the sample map.
Remote Sensing of Northwest Himalayan Ecosystems by R. R. Navalgund,A. Senthil Kumar,Subrata Nandy Pdf
Himalaya, one of the global biodiversity hotspots, is the abode of a variety of flora and fauna. The Himalayan ecosystems have immense ecological, socioeconomic, and aesthetic significance as they provide a wide range of ecosystem services. The northwest Himalaya (NWH), covering three states of India viz., Uttarakhand, Himachal Pradesh, and Jammu and Kashmir, starts from the foothills of Shivaliks in the south and extends to the greater Himalaya in the north. This region is also the source of some of the major rivers of India. With the increase in population, the NWH ecosystems have been under threat due to deforestation, loss of biodiversity, expansion of agriculture and settlement, overexploitation of natural resources, habitat loss and fragmentation, poaching, mining, construction of roads and large dams, and unplanned tourism. The Himalaya being young and geotectonically active, remains inherently unstable, fragile, and prone to natural disasters. Climate change is also likely to impact the Himalayan cryosphere drastically. Recognizing the importance of the Himalaya, a National Mission for Sustaining the Himalayan Ecosystem, one of the eight missions under the National Action Plan on Climate Change (NAPCC) of Govt. of India, to conserve biodiversity, forest cover and other ecological values in the Himalayan region has been taken up. Spaceborne remote sensing with its ability to provide synoptic and repetitive coverage has emerged as a powerful tool for assessment and monitoring of the Himalayan resources and phenomena. Indian Institute of Remote Sensing, Dehradun has taken up a number of studies in the fields of geology, water resources, forestry, agriculture, urban settlement, etc., over the last decade. The book summarises the work carried out in different disciplines, illustrated with tables and figures and a host of relevant references. It is hoped that the book serves as an excellent reference of immense value to the students, researchers, professors, scientists, professionals, and decision makers working in the NWH region.
This book provides a systematic development of tensor methods in statistics, beginning with the study of multivariate moments and cumulants. The effect on moment arrays and on cumulant arrays of making linear or affine transformations of the variables is studied. Because of their importance in statistical theory, invariant functions of the cumulants are studied in some detail. This is followed by an examination of the effect of making a polynomial transformation of the original variables. The fundamental operation of summing over complementary set partitions is introduced at this stage. This operation shapes the notation and pervades much of the remainder of the book. The necessary lattice-theory is discussed and suitable tables of complementary set partitions are provided. Subsequent chapters deal with asymptotic approximations based on Edgeworth expansion and saddlepoint expansion. The saddlepoint expansion is introduced via the Legendre transformation of the cumulant generating function, also known as the conjugate function of the cumulant generating function. A recurring them is that, with suitably chosen notation, multivariate calculations are often simpler and more transparent than the corresponding univariate calculations. The final two chapters deal with likelihood ratio statistics, maximum likelihood estimation and the effect on inferences of conditioning on ancillary or approximately ancillary statistics. The Bartlett adjustment factor is derived in the general case and simplified for certain types of generalized linear models. Finally, Barndorff-Nielsen's formula for the conditional distribution of the maximum liklelihood estimator is derived and discussed. More than 200 Exercises are provided to illustrate the uses of tensor methodology.
Spatial Modeling in GIS and R for Earth and Environmental Sciences by Hamid Reza Pourghasemi,Candan Gokceoglu Pdf
Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography Provides an overview, methods and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example
The Use of Satellite Data in Rainfall Monitoring by Eric Charles Barrett,David William Martin Pdf
Monitoring rainfall: the nature of the problem. Satellite remote sensing systems of use in rainfall monitoring. Satellite rainfall monitoring methods. Cloud-indexing methods. Life-history methods. Bi-spectral and cloud model methods. Rainfall from visible and infrared images: a physical explantation. Properties of microwave radiation in the atmosphere. Passive microwave methods. satellite rainfall monitoring applications. Rainfall investories. Applied hydrology. Flods, droughts and plagues. Crop growth and production. Active microwave systems. Integrated and international programmes for rainfall monitoring.
