Описание: This book offers an overview of geospatial technologies in land resources mapping, monitoring and management. It consists of four main sections: geospatial technologies - principles and applications; geospatial technologies in land resources mapping; geospatial technologies in land resources monitoring; and geospatial technologies in land resources management. Each part is divided into detailed chapters that include illustrations and tables. The authors, from leading institutes, such as the ICAR-NBSS&LUP, IIT-B, NRSC, ICRISAT, share their experiences and offer case studies to provide advanced insights into the field. It is a valuable resource for the scientific and the teaching community, extension scientists at research institutes and agricultural universities/colleges as well as those involved in planning and managing land resources for sustainable agriculture and livelihood security.
Автор: Pradeep Kumar Garg Название: Digital Mapping of Soil Landscape Parameters ISBN: 9811532370 ISBN-13(EAN): 9789811532375 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1. Concept of Digital Mapping.- Chapter 2. Different Approaches on Digital Mapping of Soil.- Chapter 3. Selection of Suitable Variables and Their Development.- Chapter 4. Digital Soil Mapping: Implementation and Assessment.- Chapter 5. Prediction Modelsfor Crop Mapping.- Chapter 6. Spatial Soil Moisture Prediction Model over an Agricultural Land.
Автор: Michael Leitner Название: Crime Modeling and Mapping Using Geospatial Technologies ISBN: 9400797664 ISBN-13(EAN): 9789400797666 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book surveys the evolution, current state and future of crime mapping with geographic information systems technology. Covers methods from such areas as epidemiology and location-allocation analysis, and their application to spatial analysis of crime data.
Описание: Abstract: Selected federal marketing orders for fruits and vegetables are examined in order to evaluate the relationship between marketing order activity and demand. Marketing orders have constituted the primary policy instrument applicable to fresh fruits and vegetables, dried fruits, and tree nuts for more than 40 years. This study is an attempt to empirically measure selected results of marketing orders. The general objective is to evaluate the relationship between order activity and demand. A current and historical perspective of marketing order use and evolution is presented. A theoretical specification linking order activity and demand is developed and an empirical model is developed and estimated. Finally, the empirical results are interpreted. The 21 marketing orders applicable to citrus fruits, vegetables, and potatoes as of October 1979 are examined. Most permitted order activities are observed among this set of orders. The reflection of order activity in demand is pursued from three perspectives. The direct reflection, as measured by the response of price to changes in the proportion marketed under regulation, is observed in the demand for seven commodities. Two indirect reflections are also pursued. Demand equations are estimated by the time varying parameter method which allows the distinction between demand equations with random coefficients which tend to fluctuate around estimated mean values and demand equations with coefficients exhibiting permanent change, i.e., not tending to return to a mean value. Permanent temporal parameter adjustments are indicated for selected citrus and potato orders. Temporal parameter variation is estimated to be entirely random for all vegetables considered. Several order activities are significantly correlated with permanent change. However, the lack of any discernable temporal pattern in the parameters suggests that the ability to increase demand through order activities is limited at best. Comparison of two alternative measures of randomness reveals that order activities are not significantly associated with randomness in the majority of cases. However, where the association is significant, an increase in order intensity is associated with a decrease in randomness, i.e., a more stable parameter, in most cases. No order activity is significantly associated with increased randomness under both measures. Dissertation Discovery Company and University of Florida are dedicated to making scholarly works more discoverable and accessible throughout the world. This dissertation, "Evaluation of Federal Marketing Orders for Fruits and Vegetables Using Time Varying Parameters" by Ernest Binford Smith, was obtained from University of Florida and is being sold with permission from the author. A digital copy of this work may also be found in the university's institutional repository, IR@UF. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation.
Описание: This book offers an overview of geospatial technologies in land resources mapping, monitoring and management. It consists of four main sections: geospatial technologies - principles and applications; geospatial technologies in land resources mapping; geospatial technologies in land resources monitoring; and geospatial technologies in land resources management. Each part is divided into detailed chapters that include illustrations and tables. The authors, from leading institutes, such as the ICAR-NBSS&LUP, IIT-B, NRSC, ICRISAT, share their experiences and offer case studies to provide advanced insights into the field. It is a valuable resource for the scientific and the teaching community, extension scientists at research institutes and agricultural universities/colleges as well as those involved in planning and managing land resources for sustainable agriculture and livelihood security.
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