Sampling and statistical analyses of BTS measurements

被引：55

作者：

Brenning, A

Gruber, S

Hoelzle, M

机构：

[1] Humboldt Univ, Inst Geog, Berlin, Germany

[2] Univ Zurich, Dept Geog, Zurich, Switzerland

来源：

PERMAFROST AND PERIGLACIAL PROCESSES | 2005年 / 16卷 / 04期

关键词：

BTS; mountain permafrost; statistical analysis; spatiotemporal variability; sampling design;

D O I：

10.1002/ppp.541

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

Basal temperature of snow (BTS) data show characteristic spatial autocorrelations at distances typically less than 200 m, leading to non-independent regression residuals. Systematic temporal variations may also introduce model bias resulting in a shift in the predicted lower limit of permafrost. Both phenomena are analysed. The selection of an appropriate sampling design for a BTS measurement program appears critical in order to minimize problems typical of observational data in complex terrain. Copyright (C) 2005 John Wiley & Sons, Ltd.

引用

页码：383 / 393

页数：11

共 25 条

[1]

[Anonymous], [No title captured]

[2]

[Anonymous], NOR GEOGR TIDSSKR

[3]

BERNHARD L, 1998, P 7 INT C PERM YELL, V57, P35

[4]

Crawley M.J., 2002, STAT COMPUTING INTRO

[5]

Cressie N, 1993, STAT SPATIAL DATA

[6]

DELALOYE R, 2004, THESIS U FRIBOURG SW

[7] Terrain parameters and remote sensing data in the analysis of permafrost distribution and periglacial processes:: Principles and examples from southern Norway [J].

Etzelmüller, B ;

Odegård, RS ;

Berthling, I ;

Sollid, JL .

PERMAFROST AND PERIGLACIAL PROCESSES, 2001, 12 (01) :79-92

[8]

Fukui K, 2003, Z GEOMORPHOL, V47, P179

[9]

Goovaerts P., 1997, GEOSTATISTICS NATURA

[10] Statistical modelling of mountain permafrost distribution: Local calibration and incorporation of remotely sensed data [J].

Gruber, S ;

Hoelzle, M .

PERMAFROST AND PERIGLACIAL PROCESSES, 2001, 12 (01) :69-77

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