Dealing with virtual aggregation - A new index for analysing heterogeneous point patterns

Ecography

Volumn 31, Issue 5, 2008, Pages 545-555

  Schiffers, Katja ^a,b   Schurr, Frank M ^a   Tielbörger, Katja ^a   Urbach, Carsten ^c   Moloney, Kirk ^d   Jeltsch, Florian ^a  

^a UNIVERSITY OF POTSDAM   (Germany)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c HUMBOLDT UNIVERSITY   (Germany)

^d IOWA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION; ECOLOGICAL THEORY; HEURISTICS;

INSECTIVORA;

EID: 53349098360     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.0906-7590.2008.05374.x     Document Type: Article

References (56)

1. Baddeley, A. J. Turner, R. 2005. spatstat: An R package for analyzing spatial point patterns J. Stat. Soft. 12: 1 42.
2. Baddeley, A. J. et al. 2000. Non and semi-parametric estimation interaction in inhomogeneous point patterns Stat. Neerlandica 54: 329 350.
3. Bailey, T. C. Gatrell, A. C. 1995. Interactive spatial data analysis. Longman, Harlow.
4. Barot, S. et al. 1999. Demography of a savanna palm tree: predicitons from comprehensive spatial pattern analyses Ecology 80: 1987 2005.
5. Besag, J. 1977. Contribution to the discussion of Dr. Ripley's paper J. R. Stat. Soc. 39: 193 195.
6. Bossdorf, O. et al. 2000. Spatial patterns of plant association in grazed and ungrazed shrublands in the semi-arid Karoo, South Africa J. Veg. Sci. 11: 253 258.
7. Condit, R. et al. 2000. Spatial patterns in the distribution of tropical tree species Science 288: 1414 1418.
8. Coomes, D. A. et al. 1999. Identifying aggregation and association in fully mapped spatial data Ecology 80: 554 565.
9. Dale, M. R. T. Powell, R. D. 2001. A new method for characterizing point patterns in plant ecology J. Veg. Sci. 12: 597 608.
10. Dale, M. R. T. et al. 2002. Conceptual and mathematical relationships among methods for spatial analysis Ecography 25: 558 577.
11. Diggle, P. J. 2003. Statistical analysis of point patterns, 2nd ed. Arnold.
12. Dungan, J. L. et al. 2002. A balanced view of scale in spatial statistical analysis Ecography 25: 626 640.
13. Freeman, E. A. Ford, E. D. 2002. Effects of data quality on analysis of ecological pattern using the (d) statistical function Ecology 83: 35 46.
14. Getis, A. Franklin, J. 1987. Second-order neighborhood analysis of mapped point patterns Ecology 68: 473 477.
15. Getzin, S. et al. 2006. Spatial patterns and competition of tree species in a Douglas-fir chronosequence on Vancouver Island Ecography 29: 671 682.
16. Goreaud, F. Pèlissier, R. 1999. On explicit formulas of edge effect correction for Ripley's K-function J. Veg. Sci. 10: 433 438.
17. Grimm, V. et al. 1996. Pattern-oriented modelling in population ecology Sci. Total Environ. 183: 151 166.
18. Gustafson, E. J. 1998. Quantifying landscape spatial pattern: what is the state of the art? Ecosystems 1: 143 156.
19. Haase, P. 1995. Spatial pattern analysis in ecology based on Ripley's K-function-introduction and methods of edge correction J. Veg. Sci. 6: 575 582.
20. Haase, P. 2001. Can isotropy vs. anisotropy in the spatial association of plant species reveal physical vs. biotic facilitaiton? J. Veg. Sci. 12: 127 136.
21. Jeltsch, F. et al. 1999. Detecting process from snopshot pattern: lessons from tree spacing in the southern Kalahari Oikos 85: 451 466.
22. Klaas, B. A. et al. 2000. The tempo and mode of gopher mound production in a tallgrass prairie remnant Ecography 23: 246 256.
23. Law, R. Dieckmann, U. 2000. A dynamical system for neighbourhoods in plant communities Ecology 8: 2137 2148.
24. Levin, S. A. 1992. The problem of pattern and scale in ecology Ecology 73: 1943 1967.
25. Liebhold, A. M. Gurevitch, J. 2002. Integrating the statistical analysis of spatial data in ecology Ecography 25: 553 557.
26. Martens, S. N. et al. 1997. Scales of above-ground and below-ground competition in a semi-arid woodland detected from spatial pattern J. Veg. Sci. 8: 655 664.
27. Mattfeldt, M. et al. 2006. Statistical analysis of reduced pair correlation functions of capillaries in the prostate gland J. Microsc. 223: 107 119.
28. Matthias, G. Witte, G. R. 1987. Untersuchung zur Genese des Maulwurfhaufens bei Talpa europaea (L.). Säugetierkunde. Paul Parey Verlag.
29. Mellanby, K. 1967. Food and activity in the mole Talpa europaea Nature 215: 1128 1130.
30. Molofsky, J. et al. 2002. Negative frequency dependence and the importance of spatial scale Ecology 83: 21 27.
31. Pélissier, R. Goreaud, F. 2001. A practical approach to the study of spatial structure in simple cases of heterogeneous vegetation J. Veg. Sci. 12: 99 108.
32. Pelissier, R Goreaud, F. 2007. ads: spatial point patterns analysis. R-package version 1.2-7.
33. Penttinen, A. et al. 1992. Marked point-processes in forest statistics For. Sci. 38: 806 824.
34. Perry, J. N. et al. 2002. Illustrations and guidelines for selecting statistical methods for quantifying spatial patterns in ecological data Ecography 25: 578 600.
35. Perry, L. W. G. et al. 2006. A comparison of methods for the statistical analysis of spatial point pattern in plnat ecology Plant Ecol. 187: 59 82.
36. Podani, J. Czárán, T. 1997. Individual-centered analysis of mapped point patterns representing multi-species assemblages J. Veg. Sci. 8: 259 270.
37. R Development Core Team. 2007. R: a language and environment for statistical computing. R foundation for Statistical Computing, Vienna, Austria .
38. Revilla, E. Palomares, F. 2002. Spatial organization, group living and ecological correlates in low-density populations of Eurasian badgers, Meles meles J. Anim. Ecol. 71: 497 512.
39. Ripley, B. D. 1981. Spatial statistics. Wiley.
40. Schurr, F. M. et al. 2004. Spatial pattern formation in semi-arid shrubland: a priori predicted versus observed pattern characteristics Plant Ecol. 173: 271 282.
41. Skoczeń, S. 1958. Tunnesl digging by the mole (Talpa europaea Linne) Acta Theriol. 2: 235 249.
42. Spooner, P. G. et al. 2004. Spatial analysis of roadside Acacia populations on a road network using the network K-function Landscape Ecol. 19: 491 499.
43. Stoll, P. Wiener, J. 2000. A neighborhood view of interactions among individual plants Dieckmann, U. The geometry of ecological interactions: simplifying spatial complexity. Cambridge Univ. 11 27.
44. Stone, R. D. Gorman, M. L. 1985. Social organization of the European mole (Talpa europaea) and the Pyrenean desman (Galemys pyrenaicus) Mammal. Rev. 15: 35 42.
45. Stoyan, D. Stoyan, H. 1994. Fractals, random shapes and point fields. Methods of geometrical statistics. Wiley.
46. Stoyan, D. Penttinen, A. 2000. Recent application of point process methods in forest statistics Stat. Sci. 15: 61 78.
47. Strand, E. K. et al. 2007. Spatial patterns on the sagebrush steppe/western juniper ecotone Plant Ecol. 190: 159 173.
48. van Hulzen, J. B. et al. 2006. The significance of spatial and temporal patterns of algal mat deposition in structuring salt marsh vegetation J. Veg. Sci 17: 291 298.
49. van Teeffelen, A. J. A. Ovaskainen, O. 2007. Can the cause of aggregation be inferred from species distributions? Oikos 116: 4 16.
50. Wagner, H. H. Fortin, M.-J. 2005. Spatial analysis of landscapes: concepts and statistics Ecology 86: 1975 1987.
51. Wiegand, K. et al. 2000. Do spatial effects play a role in the spatial distribution of desert-dwelling Acacia raddiana? J. Veg. Sci. 11: 473 484.
52. Wiegand, T. Moloney, K. A. 2004. Rings, circles, and null-models for point pattern analysis in ecology Oikos 104: 209 229.
53. Wiegand, T. et al. 1998. Populations dynamics, disturbances, and pattern evolution: identifying the fundamental scales of organization in a model ecosystem Am. Nat. 152: 321 337.
54. Wiegand, T. et al. 1999. Finding the missing link between landscape structure and population dynamics: a spatially explicit perspective Am. Nat. 154: 605 627.
55. Wiegand, T. et al. 2006. Extending point pattern analysis for objects of finite size and irregular shape J. Ecol. 94: 825 837.
56. Wiens, J. A. et al. 1993. Ecological mechanisms and landscape ecology Oikos 66: 369 380.