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Spatial Analysis of Wildlife Distribution and Disease Spread

  • Marie-Josée Fortin
  • Mark R. T. Dale
  • Stefania Bertazzon

Abstract

Many of the interactions between organisms depend on the distance or the ease of movement (accessibility) between them which can be based on the concept of the neighbors or of the neighborhoods of given individuals. A number of different statistical approaches have been developed (Fortin and Dale 2005; Perry 1995) to address the definitions of neighbors and neighborhoods in order to implement measures of those characteristics that are most important to the interactions under study. In particular, the numbers of neighbors (however defined) and their distances can be combined into measures of aggregation, dispersion or crowding (Lloyd 1967), which can have clear effects on important demographic processes, such as the spread of disease, beyond the simple effect of distance to the nearest organisms of the same or different kinds.

Keywords

Home Range Functional Connectivity Spatial Autocorrelation Spatial Analysis West Nile Virus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Adriaensen F, Chardon JP, De Blust G, Swinnen E, Villalba S, Gulinck H, Matthysen E (2003) The application of ‘least-cost’ modelling as a functional landscape model. Landscape and Urban Planning 64:233–247CrossRefGoogle Scholar
  2. Anselin L (1988) Spatial Econometrics: Methods and Models. New York: KluwerGoogle Scholar
  3. Anselin L (1995) Local indicators of spatial association —LISA. Geographical Analysis 27:93–115Google Scholar
  4. Benes V, Rataj J (2004) Stochastic Geometry: Selected Topics. New York: SpringerGoogle Scholar
  5. Betts MG, Diamond AW, Forbes GJ, Villard M-A, Gunn JS (2006) The importance of spatial autocorrelation, extent and resolution in predicting forest bird occurrence. Ecol Modell 191:197–224CrossRefGoogle Scholar
  6. Burra T, Elliott S, Eyles J, Kanaroglou P, Wainman B, Muggah H (2006) Effects of residential exposure to steel mills and coking works on birth weight and preterm births among residents of Sidney, Nova Scotia. Canad Geographer 50:242–255CrossRefGoogle Scholar
  7. Burrough PA, McDonnell RA (1998) Principles of Geographical Systems. Oxford: Oxford University PressGoogle Scholar
  8. Buzzelli M, Su J, Le N, Bache T (2006) Health hazards and socio-economic status: A neighbourhood cohort approach, Vancouver, 1976–2001. Canad Geographer 50:376–391CrossRefGoogle Scholar
  9. Cliff AD, Haggett P (2006) A swash-backwash model of the single epidemic wave. J Geograph Syst 8:227–252CrossRefGoogle Scholar
  10. Cliff AD, Ord JK (1981) Spatial Processes: Models and Applications. London: PionGoogle Scholar
  11. Crabbe H, Hamilton R, Machin N (2000) Using GIS and dispersion modelling tools to assess the effect of the environment on health. Trans GIS 4:235–244CrossRefGoogle Scholar
  12. Cressie NAC (1993) Statistics for Spatial Data. 2nd edition. New York: WileyGoogle Scholar
  13. Dale MRT, Dixon P, Fortin M-J, Legendre P, Myers D, Rosenberg MS (2002) The conceptual and mathematical relationships among methods for spatial analysis. Ecography 25:558–577CrossRefGoogle Scholar
  14. Diggle PJ (2003) Statistical Analysis of Spatial Point Patterns. 2nd edition. London: Hodder ArnoldGoogle Scholar
  15. Dormann CF (2007) Effects of incorporating spatial autocorrelation into the analysis of species distribution data. Global Ecol Biogeography 16:129–138CrossRefGoogle Scholar
  16. Downing JA (1991) Biological and physical heterogeneity in lakes. Pp. 160–180. in: Kolasa J, Pickett S (eds.), Ecological Heterogeneity. New York: SpringerGoogle Scholar
  17. Egenhofer MJ, Golledge RG (1998) Spatial and Temporal Reasoning in Geographical Information Systems. Oxford: Oxford University PressGoogle Scholar
  18. Elliott P, Wakefield JC, Best NG, Briggs DJ (2000) Spatial Epidemiology: Methods and Applications. Oxford: Oxford University PressGoogle Scholar
  19. Elliott P, Wartenberg D (2004) Spatial epidemiology: Current approaches and future challenges. Environ Health Persp 12:998–1006Google Scholar
  20. Fall A, Fortin M-J, Manseau M, O'Brien D (2007) Spatial graphs: Principles and applications for habitat connectivity. Ecosystems 10:448–461CrossRefGoogle Scholar
  21. Fotheringham S, Brunsdon C, Charlton M (1992) Geographically weighted regression. The analysis of spatially varying relationship. WileyGoogle Scholar
  22. Fortin M-J, Boots B, Csillag F, Remmel TK (2003) On the role of spatial stochastic models in understanding landscape indices in ecology. Oikos 102:203–212CrossRefGoogle Scholar
  23. Fortin M-J, Dale MRT (2005) Spatial Analysis: A Guide for Ecologists. Cambridge: Cambridge University PressGoogle Scholar
  24. Fortin M-J, Keitt TH, Maurer BA, Taper ML, Kaufman DM, Blackburn TM (2005) Species ranges and distributional limits: pattern analysis and statistical issues. Oikos 108:7–17CrossRefGoogle Scholar
  25. Getis A, Ord JK (1992) The analysis of spatial association by use of distance statistics. Geographical Analysis 24:189–206Google Scholar
  26. Gitzen RA, Millspaugh JJ, Kernohan BJ (2006) Bandwidth selection for fixed-kernel analysis of animal utilization distributions. J Wildl Manage 70:1334–1344CrossRefGoogle Scholar
  27. Gribko LS, Liebhold AM, Hohn ME (1995) A model to predict gypsy moth (Lepidoptera: Lymantriidae) defoliation using kriging and logistic regression. Environ Entomol 24:529–537Google Scholar
  28. Hagerstrand T (1973) Innovation Diffusion as a Spatial Process. Chicago, IL: University of Chicago PressGoogle Scholar
  29. Haining R (2003) Spatial Data Analysis: Theory and Practice. Cambridge: Cambridge University PressGoogle Scholar
  30. Hooten MB, Wikle CK, Dorazio RM, Royle JA (2007) Hierarchical spatiotemporal matrix models for characterizing invasions. Biometrics 63:558–567CrossRefPubMedGoogle Scholar
  31. Hua C, Porell H (1979) A critical review of the development of the gravity model. Int Regional Sci Rev 4:97–126CrossRefGoogle Scholar
  32. Hyndman RJ, Koehler AB, Snyder RD, Grose S (2002) A state space framework for automatic forecasting using exponential smoothing methods. International J. Forecasting 18:439–454CrossRefGoogle Scholar
  33. Koenig WD (1998) Spatial autocorrelation in California land birds. Conservation Biol 12:612–620CrossRefGoogle Scholar
  34. Laube P, Dennis T, Forer P, Walker M (2007) Movement beyond the snapshot — Dynamic analysis of geospatial lifelines. Comput Environ Urban Syst 31:481–501CrossRefGoogle Scholar
  35. Law J, Haining R, Maheswaran R, Pearson T (2006) Analyzing the relationship between smoking and coronary heart disease at the small area level: A Bayesian approach to spatial modeling. Geograph Anal 38:140–159CrossRefGoogle Scholar
  36. Legendre P, Dale MRT, Fortin M-J, Gurevitch J, Hohn M, Myers D (2002) The consequences of spatial structure for the design and analysis of ecological field surveys. Ecography 25:601–616CrossRefGoogle Scholar
  37. Legendre P, Legendre L (1998) Numerical Ecology. 2nd English edition, Amsterdam: Elsevier ScienceGoogle Scholar
  38. Lin YP, Yeh MS, Deng DP, Wang YC (2008) Geostatistical approaches and optimal additional sampling schemes for spatial patterns and future sampling of bird diversity. Global Ecol Biogeography 17:175–188CrossRefGoogle Scholar
  39. Lloyd M (1967) Mean crowding. J Anim Ecol 36:1–30CrossRefGoogle Scholar
  40. Ludovisi A, Minozzo M, PandolfiP, Taticchi MI (2005) Modelling the horizontal spatial structure of planktonic community in Lake Trasimeno (Umbria, Italy) using multivariate geostatistical methods. Ecol Modell 181:247–262CrossRefGoogle Scholar
  41. McGarigal K, Marks BJ (1995) FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. USDA For Serv Gen Tech Rep PNW-351Google Scholar
  42. O'Brien D, Manseau M, Fall A, Fortin M-J (2006) Testing the importance of spatial configuration of winter habitat for woodland caribou: An application of graph theory. Biol Conserv 130:70–83CrossRefGoogle Scholar
  43. Ohta K, Kobashi G, Takano S, Kagaya S, Yamada H, Minakami H, Yamamura E (2006) Analysis of the geographical accessibility of neurosurgical emergency hospitals in Sapporo city using GIS and AHP. Int J Geograph Inform Sci 21:687–698CrossRefGoogle Scholar
  44. Okubo A, Levin, SA (2000) Diffusion and Ecological Problems: Modern Perspectives. New York: SpringerGoogle Scholar
  45. Perry JN (1995) Spatial-analysis by distance indexes. J Anim Ecol 64:303–314CrossRefGoogle Scholar
  46. Perry JN (1996) Simulating spatial patterns of counts in agriculture and ecology. Comput Electron Agric 15:93–109CrossRefGoogle Scholar
  47. Perry JN (1998) Measures of spatial pattern for counts. Ecology 7:1008–1017CrossRefGoogle Scholar
  48. Peuquet DJ (2002) Representations of Space and Time. New York: GuilfordGoogle Scholar
  49. Pfeifer PE, Deutsch SJ (1980) Identification and interpretation of first order space-time ARMA models. Technometrics 22:397–408CrossRefGoogle Scholar
  50. Rangel TFLVB, Diniz-Filho JAF, Bini LM (2006) Towards an integrated computational tool for spatial analysis in macroecology and biogeography. Global Ecol Biogeography 15:321–327CrossRefGoogle Scholar
  51. Raper, J. (2000) Multidimensional Geographic Information Science. London: Taylor & FrancisGoogle Scholar
  52. Real LA, Biek R (2007) Spatial dynamics and genetics of infectious diseases on heterogeneous landscapes. J Roy Soc Interf 4:935–948CrossRefGoogle Scholar
  53. Ripley BD (1977) Modeling spatial patterns. Journal of the Royal Statistical Society Series B-Methodological 39:172–212Google Scholar
  54. Ripley BD (1981) Spatial Statistics. New York: Wiley-InterscienceCrossRefGoogle Scholar
  55. Robertson C, Nelson TA, Boots B, Wulder MA (2007) STAMP: Spatial-temporal analysis of moving polygons. J Geograph Syst 9:207–227CrossRefGoogle Scholar
  56. Sadahiro Y, Umemura M (2001) A computational approach for the analysis of changes in polygon distributions. J Geograph Syst 3:137–154CrossRefGoogle Scholar
  57. Segurado P, Araujo MB, Kunin WE (2006) Consequences of spatial autocorrelation for niche-based models. J Appl Ecol 43:433–444CrossRefGoogle Scholar
  58. Sterner RT, Smith GC (2006) Modelling wildlife rabies: Transmission, economics, and conservation. Biol Conserv 131:163–179CrossRefGoogle Scholar
  59. St-Louis, V, Fortin M-J, Desrochers A (2004) Association between microhabitat and territory boundaries of two forest songbirds. Landsc Ecol 19:591–601CrossRefGoogle Scholar
  60. Stoyan D, Kendall WS, Mecke J (1995) Stochastic Geometry and Its Applications. New York: WileyGoogle Scholar
  61. Taylor PD, Fahrig L, Henein K, Merriam G (1993) Connectivity is a vital element of landscape structure. Oikos 68:571–572CrossRefGoogle Scholar
  62. Tobin, PC, Whitmire SL, Johnson DM, Bjornstad ON, Liebhold AM (2007) Invasion speed is affected by geographic variation in the strength of Allee effects. Ecol Lett 10:36–43CrossRefPubMedGoogle Scholar
  63. Villard M-A, Maurer BA (1996) Geostatistics as a tool for examining hypothesized declines in migratory songbirds. Ecology 77:59–68CrossRefGoogle Scholar
  64. Waller LA, Gotway CA (2003) Applied Spatial Analysis of Public Health Data. New York: WileyGoogle Scholar
  65. Waller LA, Gotway CA (2004) Applied Spatial Statistics for Public Health Data. Hoboken, NJ: WileyCrossRefGoogle Scholar
  66. Wiegand T, Moloney KA (2004) Rings, circles and null-models for point pattern analysis in ecology. Oikos 104:209–229CrossRefGoogle Scholar
  67. Wiens JA, Crist TO, Milne BT (1993) On quantifying insect movements. Environ Entomol 22:709–715Google Scholar
  68. Wikle CK (2003) Hierarchical Bayesian models for predicting the spread of ecological processes. Ecology 84:1382–1394CrossRefGoogle Scholar
  69. With KA, Gardner RH, Turner MG (1997) Landscape connectivity and population distributions in heterogeneous environments. Oikos 78:151–169CrossRefGoogle Scholar

Copyright information

© Springer 2010

Authors and Affiliations

  • Marie-Josée Fortin
    • 1
  • Mark R. T. Dale
    • 2
  • Stefania Bertazzon
    • 3
  1. 1.Department of Ecology and Evolutionary BiologyUniversity of TorontoTorontoCanada
  2. 2.Department of Environmental Science and EngineeringUniversity of Northern British ColumbiaPrince GeorgeCanada
  3. 3.Department of GeographyUniversity of CalgaryCalgaryCanada

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