FRAGSTATS

FRAGSTATS is a computer software program designed to compute a wide variety of landscape metrics for categorical map patterns.The original software (version 2) was released in the public domain during 1995 in association with the publication of a USDA Forest Service General Technical Report (McGarigal and Marks 1995). Since then, hundreds of professionals have enjoyed the use of FRAGSTATS. Due to its popularity, the program was completely revamped in 2002 (version 3). Recently, the program was upgraded to accommodate ArcGIS10 (version 3.4). The latest release (version 4) reflects a major revamping of the software, with a completely redesigned architecture intended to support the addition of cell-level metrics and surface pattern metrics, among other things. The current release of version 4 (v4.2) has essentially the same functionality as version 3, but with a new user interface that reflects the redesign of the model architecture, support for additional image formats, and a variety of sampling methods for analyzing sub-landscapes.


References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
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  1. Zamberletti, Patrizia; Papaïx, Julien; Gabriel, Edith; Opitz, Thomas: Markov random field models for vector-based representations of landscapes (2021)
  2. Neto, Teresa; Constantino, Miguel; Martins, Isabel; Pedroso, João Pedro: A multi-objective Monte Carlo tree search for forest harvest scheduling (2020)
  3. Xie, Yimeng; Xu, Li; Li, Jie; Deng, Xinwei; Hong, Yili; Kolivras, Korine; Gaines, David N.: Spatial variable selection and an application to Virginia Lyme disease emergence (2019)
  4. Constantino, Miguel; Martins, Isabel: Branch-and-cut for the forest harvest scheduling subject to clearcut and core area constraints (2018)
  5. Erwan Bocher, Gwendall Petit, Jérémy Bernard, Sylvain Palominos: A geoprocessing framework to compute urban indicators: The MApUCE tools chain (2018) not zbMATH
  6. Jed Long; Colin Robertson: stampr: Spatial-Temporal Analysis of Moving Polygons in R (2018) not zbMATH
  7. Neto, Teresa; Constantino, Miguel; Martins, Isabel; Pedroso, João Pedro: Forest harvest scheduling with clearcut and core area constraints (2017)
  8. Billionnet, Alain: Mathematical optimization ideas for biodiversity conservation (2013)
  9. Billionnet, Alain: Optimal selection of forest patches using integer and fractional programming (2010)
  10. Rapicetta, Silvia; Zanon, Vittorio: GIS-based method for the environmental vulnerability assessment to volcanic ashfall at Etna Volcano (2009) ioport
  11. Boots, Barry: Local configuration measures for categorical spatial data: Binary regular lattices. (2006) ioport
  12. Hagen-Zanker, Alex: Map comparison methods that simultaneously address overlap and structure (2006) ioport
  13. White, Roger: Pattern based map comparisons (2006) ioport
  14. Li, Xiuzhen; He, Hong S.; Bu, Rencang; Wen, Qingchun; Chang, Yu; Hu, Yuanman; Li, Yuehui: The adequacy of different landscape metrics for various landscape patterns (2005) ioport
  15. Sadoddin, A.; Letcher, R. A.; Jakeman, A. J.; Newham, L. T. H.: A Bayesian decision network approach for assessing the ecological impacts of salinity management (2005)
  16. Venema, Henry David; Calamai, Paul H.; Fieguth, Paul: Forest structure optimization using evolutionary programming and landscape ecology metrics (2005)
  17. Bogaert, J.; Rousseau, R.: Spatial aggregation of two-dimensional objects in raster data structures (2001)
  18. Bogaert, J.; Rousseau, R.; Van Hecke, P.; Impens, I.: Alternative area-perimeter ratios for measurement of 2D shape compactness of habitats (2000)
  19. Patil, G. P.; Myers, W. L.; Luo, Zhen; Johnson, G. D.; Taillie, C.: Multiscale assessment of landscapes and watersheds with synoptic multivariate spatial data in environmental and ecological statistics (2000)