|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910462344003321 |
|
|
Autore |
Webster R (Richard), <1933-, > |
|
|
Titolo |
Field sampling for environmental science and management / / Richard Webster and R. Murray Lark |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Milton Park, Abingdon, Oxon ; ; New York, N.Y. : , : Routledge, , 2013 |
|
|
|
|
|
|
|
ISBN |
|
1-283-60650-X |
9786613918956 |
1-136-47035-2 |
0-203-12864-8 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (201 p.) |
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Environmental sampling |
Environmental sampling - Statistical methods |
Environmental sciences - Methodology |
Environmental management - Methodology |
Electronic books. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
"Simultaneously published in the USA and Canada"--T.p. verso. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references (p. [183]-188) and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Field Sampling for Environmental Science and Management; Copyright; Contents; Preface; Chapter 1 Introduction; Chapter 2 Aims and concepts; Chapter 3 Simple random sampling; Chapter 4 Efficiency, economy and logistics; Chapter 5 Prediction from spatial classifications; Chapter 6 Sampling from designed experiments; Chapter 7 Sampling for regression and calibration; Chapter 8 Nested sampling and analysis; Chapter 9 Geostatistics: model-based prediction; Appendix; References; Index |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
Scientists and consultants need to estimate and map properties of the terrestrial environment. These include plant nutrients and parasites in soil, gaseous emissions from soil, pollutant metals and xenobiotics in waste and contaminated land, salt in groundwater and species abundances above ground. The scale varies from small experimental plots to catchments, and the land may be enclosed in fields or be open grassland, forest or desert. Those who sample the variables to obtain the necessary data need guidance on the design and analysis of |
|
|
|
|