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Further Reading

Statistical techniques for spatial data are reviewed by McGarigal (2002) while
for network statistics good starting points are Newman (2003) and Boccaletti et
al. (2006), with more recent work reviewed by Evans (2010). For information on
coping with auto-/cross-correlation in spatial data, see Wagner and Fortin (2005).
Patel and Hudson-Smith (2012) provide an overview of the types of simulation tool
(virtual worlds and virtual reality) available for visualising the outputs of spatially
explicit agent-based models. Evans (2012) provides a review of techniques for
analysing error and uncertainty in models, including both environmental/climate
models and what they can bring to the agent-based field. He also reviews techniques
for identifying the appropriate model form and parameter sets.

References

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Baird, A. A., et al. (2002). Frontal lobe activation during object permanence: Data from near-
infrared spectroscopy. NeuroImage, 16, 1120–1126.
Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., & Hwang, D.-U. (2006). Complex networks:
Structure and dynamics. Physics Reports, 424(4–5), 175–308.
Boroditsky, L. (2001). Does language shape thought? Mandarin and English speakers’ conceptions
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