Author: Bernard R. Parresol
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 16
Book Description
Recovering Parameters of Johnson's SB Distribution
Author: Bernard R. Parresol
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 16
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 16
Book Description
Recovering Parameters of Johnson's SB Distribution
Author: Bernard R. Parresol
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 20
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 20
Book Description
Research Paper SRS
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 208
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 208
Book Description
General Technical Report RM.
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 298
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 298
Book Description
Portfolio Management under Stress
Author: Riccardo Rebonato
Publisher: Cambridge University Press
ISBN: 1107048117
Category : Business & Economics
Languages : en
Pages : 519
Book Description
A rigorous presentation of a novel methodology for asset allocation in financial portfolios under conditions of market distress.
Publisher: Cambridge University Press
ISBN: 1107048117
Category : Business & Economics
Languages : en
Pages : 519
Book Description
A rigorous presentation of a novel methodology for asset allocation in financial portfolios under conditions of market distress.
Forest Systems
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 634
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 634
Book Description
The Rise of Big Spatial Data
Author: Igor Ivan
Publisher: Springer
ISBN: 3319451235
Category : Science
Languages : en
Pages : 418
Book Description
This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16–18, 2016. Combining theoretical papers and applications by authors from around the globe, it summarises the latest research findings in the area of big spatial data and key problems related to its utilisation. Welcome to dawn of the big data era: though it’s in sight, it isn’t quite here yet. Big spatial data is characterised by three main features: volume beyond the limit of usual geo-processing, velocity higher than that available using conventional processes, and variety, combining more diverse geodata sources than usual. The popular term denotes a situation in which one or more of these key properties reaches a point at which traditional methods for geodata collection, storage, processing, control, analysis, modelling, validation and visualisation fail to provide effective solutions. >Entering the era of big spatial data calls for finding solutions that address all “small data” issues that soon create “big data” troubles. Resilience for big spatial data means solving the heterogeneity of spatial data sources (in topics, purpose, completeness, guarantee, licensing, coverage etc.), large volumes (from gigabytes to terabytes and more), undue complexity of geo-applications and systems (i.e. combination of standalone applications with web services, mobile platforms and sensor networks), neglected automation of geodata preparation (i.e. harmonisation, fusion), insufficient control of geodata collection and distribution processes (i.e. scarcity and poor quality of metadata and metadata systems), limited analytical tool capacity (i.e. domination of traditional causal-driven analysis), low visual system performance, inefficient knowledge-discovery techniques (for transformation of vast amounts of information into tiny and essential outputs) and much more. These trends are accelerating as sensors become more ubiquitous around the world.
Publisher: Springer
ISBN: 3319451235
Category : Science
Languages : en
Pages : 418
Book Description
This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16–18, 2016. Combining theoretical papers and applications by authors from around the globe, it summarises the latest research findings in the area of big spatial data and key problems related to its utilisation. Welcome to dawn of the big data era: though it’s in sight, it isn’t quite here yet. Big spatial data is characterised by three main features: volume beyond the limit of usual geo-processing, velocity higher than that available using conventional processes, and variety, combining more diverse geodata sources than usual. The popular term denotes a situation in which one or more of these key properties reaches a point at which traditional methods for geodata collection, storage, processing, control, analysis, modelling, validation and visualisation fail to provide effective solutions. >Entering the era of big spatial data calls for finding solutions that address all “small data” issues that soon create “big data” troubles. Resilience for big spatial data means solving the heterogeneity of spatial data sources (in topics, purpose, completeness, guarantee, licensing, coverage etc.), large volumes (from gigabytes to terabytes and more), undue complexity of geo-applications and systems (i.e. combination of standalone applications with web services, mobile platforms and sensor networks), neglected automation of geodata preparation (i.e. harmonisation, fusion), insufficient control of geodata collection and distribution processes (i.e. scarcity and poor quality of metadata and metadata systems), limited analytical tool capacity (i.e. domination of traditional causal-driven analysis), low visual system performance, inefficient knowledge-discovery techniques (for transformation of vast amounts of information into tiny and essential outputs) and much more. These trends are accelerating as sensors become more ubiquitous around the world.
Multiresource Management of Ponderosa Pine Forests
Author: W. Wallace Covington
Publisher:
ISBN:
Category : Forest management
Languages : en
Pages : 292
Book Description
Publisher:
ISBN:
Category : Forest management
Languages : en
Pages : 292
Book Description
Integrated Computer Technologies in Mechanical Engineering - 2021
Author: Mykola Nechyporuk
Publisher: Springer Nature
ISBN: 3030942597
Category : Technology & Engineering
Languages : en
Pages : 1078
Book Description
The International Scientific and Technical Conference “Integrated Computer Technologies in Mechanical Engineering” – Synergetic Engineering (ICTM) was established by National Aerospace University “Kharkiv Aviation Institute”. The Conference ICTM’2021 was held in Kharkiv, Ukraine, during October 28–29, 2021. During this conference, technical exchanges between the research community were carried out in the forms of keynote speeches, panel discussions, as well as special session. In addition, participants were treated to a series of receptions, which forge collaborations among fellow researchers. ICTM’2021 received 203 papers submissions from different countries. Target Groups ICTM was formed to bring together outstanding researchers and practitioners in the field of information technology in the design and manufacture of engines; creation of rocket space systems, aerospace engineering from all over the world to share their experience and expertise.
Publisher: Springer Nature
ISBN: 3030942597
Category : Technology & Engineering
Languages : en
Pages : 1078
Book Description
The International Scientific and Technical Conference “Integrated Computer Technologies in Mechanical Engineering” – Synergetic Engineering (ICTM) was established by National Aerospace University “Kharkiv Aviation Institute”. The Conference ICTM’2021 was held in Kharkiv, Ukraine, during October 28–29, 2021. During this conference, technical exchanges between the research community were carried out in the forms of keynote speeches, panel discussions, as well as special session. In addition, participants were treated to a series of receptions, which forge collaborations among fellow researchers. ICTM’2021 received 203 papers submissions from different countries. Target Groups ICTM was formed to bring together outstanding researchers and practitioners in the field of information technology in the design and manufacture of engines; creation of rocket space systems, aerospace engineering from all over the world to share their experience and expertise.
Sustainable Forest Management
Author: Julio J. Diez
Publisher: BoD – Books on Demand
ISBN: 953510621X
Category : Technology & Engineering
Languages : en
Pages : 472
Book Description
Sustainable forest management (SFM) is not a new concept. However, its popularity has increased in the last few decades because of public concern about the dramatic decrease in forest resources. The implementation of SFM is generally achieved using criteria and indicators (C
Publisher: BoD – Books on Demand
ISBN: 953510621X
Category : Technology & Engineering
Languages : en
Pages : 472
Book Description
Sustainable forest management (SFM) is not a new concept. However, its popularity has increased in the last few decades because of public concern about the dramatic decrease in forest resources. The implementation of SFM is generally achieved using criteria and indicators (C