9780471941620 - Geographical Data Analysis von Walford, Nigel (10 Ergebnisse)

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:9780471941620.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 460 | Sprache: Englisch | Produktart: Bücher | It is increasingly important for the earth science student to appreciate that the acquisition of skills in statistics and computerised data analysis is as much part of modern geography as work in the field, laboratory or library. In this respect, Geographical Data Analysis aims to link the use of statistical techniques by means of computer software, to the acquisition of geographical-knowledge and the scientific method of enquiry. The book has three objectives: to explain basic statistical techniques and demonstrate their application to quantitative geography; to equip students with the knowledge and skills necessary for carrying out research projects; and to make the link between statistical analysis and the substantive topics taught as part of a geography course. An important innovative feature of the book is its ?project-orientated? approach, which utilises exemplar projects drawn from human and physical geography. Each exemplar project shows the progress from the conception of the initial research through to the formulation of tentative hypotheses and the subsequent statistical analysis. The projects exemplify both primary and secondary methods for collecting geographical data, with the computer-based application of a wide range of statistical techniques. Thus, these projects allow discussion of sample design, data collection and computerisation, and a selection of appropriate statistical techniques. As such, Geographical Data Analysis integrates quantitative and geographical methodologies and provides a thorough understanding of basic statistical techniques for the undergraduate geography student; it will be of use from first year through to final degree dissertations.

Zustand: New. In.

Zustand: New. pp. 458.

Kartoniert / Broschiert. Zustand: New. This textbook aims to clarify the links between statistics and computerized data analysis when applying the scientific method of enquiry to geography. It explains basic statistical techniques and demonstrates their application in geographical data analysis.

Zustand: New. This textbook aims to clarify the links between statistics and computerized data analysis when applying the scientific method of enquiry to geography. It explains basic statistical techniques and demonstrates their application in geographical data analysis. Num Pages: 458 pages, 112 line drawings. BIC Classification: PBT; RG. Category: (UU) Undergraduate. Dimension: 246 x 190 x 26. Weight in Grams: 900. . 1995. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 446 pages. 10.00x7.50x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - It is increasingly important for the earth science student to appreciate that the acquisition of skills in statistics and computerised data analysis is as much part of modern geography as work in the field, laboratory or library. In this respect, Geographical Data Analysis aims to link the use of statistical techniques by means of computer software, to the acquisition of geographical-knowledge and the scientific method of enquiry. The book has three objectives: to explain basic statistical techniques and demonstrate their application to quantitative geography; to equip students with the knowledge and skills necessary for carrying out research projects; and to make the link between statistical analysis and the substantive topics taught as part of a geography course. An important innovative feature of the book is its project-orientated approach, which utilises exemplar projects drawn from human and physical geography. Each exemplar project shows the progress from the conception of the initial research through to the formulation of tentative hypotheses and the subsequent statistical analysis. The projects exemplify both primary and secondary methods for collecting geographical data, with the computer-based application of a wide range of statistical techniques. Thus, these projects allow discussion of sample design, data collection and computerisation, and a selection of appropriate statistical techniques. As such, Geographical Data Analysis integrates quantitative and geographical methodologies and provides a thorough understanding of basic statistical techniques for the undergraduate geography student; it will be of use from first year through to final degree dissertations.