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Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
16 Angebote vergleichen
Bester Preis: Fr. 205.79 (€ 210.44)¹ (vom 25.09.2019)Exploratory Analysis of Spatial and Temporal Data (2016)
ISBN: 9783662499962 bzw. 3662499967, in Deutsch, Springer, neu, Nachdruck.
New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Exploratory Analysis of Spatial and Temporal Data (2016)
ISBN: 9783662499962 bzw. 3662499967, in Deutsch, Springer, neu, Nachdruck.
New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000.
Exploratory Analysis of Spatial and Temporal Data (2016)
ISBN: 9783662499962 bzw. 3662499967, vermutlich in Englisch, Springer, neu, Nachdruck.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Exploratory Analysis of Spatial and Temporal Data (2016)
ISBN: 9783662499962 bzw. 3662499967, vermutlich in Englisch, Springer, neu, Nachdruck.
New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Exploratory Analysis of Spatial and Temporal Data
ISBN: 9783540259947 bzw. 3540259945, vermutlich in Englisch, Springer Shop, gebundenes Buch, neu.
Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail. So EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis testing. The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. They start by developing a general view of data structures and characteristics and then build on top of this a general task typology, distinguishing between elementary and synoptic tasks. This typology is then applied to the description of existing approaches and technologies, resulting not just in recommendations for choosing methods but in a set of generic procedures for data exploration. Professionals practicing analysis will profit from tested solutions – illustrated in many examples – for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to spatial data only. In addition, the general principles and approaches described will be useful for designers of new methods for EDA. Hard cover.
Exploratory Analysis of Spatial and Temporal Data, A Systematic Approach (2005)
ISBN: 9783540259947 bzw. 3540259945, in Deutsch, Springer, gebundenes Buch, neu.
bol.com.
Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail. So EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis testing.The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in pa..., Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail. So EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis testing.The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. They start by developing a general view of data structures and characteristics and then build on top of this a general task typology, distinguishing between elementary and synoptic tasks. This typology is then applied to the description of existing approaches and technologies, resulting not just in recommendations for choosing methods but in a set of generic procedures for data exploration. Professionals practicing analysis will profit from tested solutions – illustrated in many examples – for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to spatial data only. In addition, the general principles and approaches described will be useful for designers of new methods for EDA.Taal: Engels;Afmetingen: 43x235x155 mm;Gewicht: 1,18 kg;Verschijningsdatum: december 2005;Druk: 1;ISBN10: 3540259945;ISBN13: 9783540259947; Engelstalig | Hardcover | 2005.
Exploratory Analysis of Spatial and Temporal Data : A Systematic Approach (2017)
ISBN: 9783662499962 bzw. 3662499967, vermutlich in Englisch, Springer, Taschenbuch, neu, Nachdruck.
PRINT ON DEMAND Book; New; Publication Year 2017; Not Signed; Fast Shipping from the UK.
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
ISBN: 9783540259947 bzw. 3540259945, in Englisch, Springer, neu.
Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail. So EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis testing. The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. They start by developing a general view of data structures and characteristics and then build on top of this a general task typology, distinguishing between elementary and synoptic tasks. This typology is then applied to the description of existing approaches and technologies, resulting not just in recommendations for choosing methods but in a set of generic procedures for data exploration. Professionals practicing analysis will profit from tested solutions - illustrated in many examples - for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to spatial data only. In addition, the general principles and approaches described will be useful for designers of new methods for EDA.
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
ISBN: 9783540259947 bzw. 3540259945, vermutlich in Englisch, Springer, Berlin/Heidelberg, Deutschland, neu.
Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail. So EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis testing.The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. They start by developing a general view of data structures and characteristics and then build on top of this a general task typology, distinguishing between elementary and synoptic tasks. This typology is then applied to the description of existing approaches and technologies, resulting not just in recommendations for choosing methods but in a set of generic procedures for data exploration.Professionals practicing analysis will profit from tested solutions - illustrated in many examples - for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to spatial data only. In addition, the general principles and approaches described will be useful for designers of new methods for EDA.
Exploratory Analysis of Spatial and Temporal Data
ISBN: 9783540259947 bzw. 3540259945, vermutlich in Englisch, Springer, Berlin/Heidelberg, Deutschland, neu, Hörbuch.
Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail. So EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis testing.The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. They start by developing a general view of data structures and characteristics and then build on top of this a general task typology, distinguishing between elementary and synoptic tasks. This typology is then applied to the description of existing approaches and technologies, resulting not just in recommendations for choosing methods but in a set of generic procedures for data exploration.Professionals practicing analysis will profit from tested solutions - illustrated in many examples - for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to spatial data only. In addition, the general principles and approaches described will be useful for designers of new methods for EDA.