AVAILABLE SOFTWARES
1. MHM
MHM, short for Multiscale Heterogeneity Map, is a convenient tool aimed at analysing almost every kind of surface pattern. It focuses on multiscale analysis, and offers multiscale maps and profiles of the most-often used pattern indices. This method is summarised within a coherent open-source software that makes analyses very friendly for ecological, remote sensing, and even biological or physical studies. MHM is fully complementary to geostatistical tools (dedicated to point-pattern analyses) or to Fragstats modules (generally offering monoscale analyses) and focuses on patchy mosaics. MHM software has been developed from Gaucherel’s Matlab® routines (see references) and has been recently transformed into open Java® multiplatform software (see developer forum). MHM works with images saved in raster mode and provides quantified indices in similar formats.
References
- Gaucherel, C., Multiscale heterogeneity map and associated scaling profile for landscape analysis. Landscape and Urban Planning, 82 (3): 95-102 (2007).
- Gaucherel, C., Self-similar land cover heterogeneity of temperate and tropical landscapes. Ecological Complexity, 6: 346-352 (2009).
2. CMP
CMP, short for Correlation Map and Profile, is a tool aimed at conveniently comparing almost every kind of surface pattern. It focuses on a multiscale comparison of quantitative and qualitative images, and offers multiscale maps and profiles of commonly used indices. This method is summarised within a coherent open-source software that makes analyses very easy for ecological, remote sensing, and even biological or physical studies. CMP is fully complementary to other comparison tools (mainly dedicated to point-pattern analyses) such as co-kriging, co-spectra and co-wavelets. The CMP software has been developed from Gaucherel’s Matlab® routines (see references) and has been recently transformed into open Java® multiplatform software (see developer forum). CMP works with images saved in raster mode and provides quantified indices in similar formats.
References
- Gaucherel, C., Alleaume, S. and Hély, C., The Comparison Map Profile method: a strategy for multiscale comparison of quantitative and qualitative images. IEEE Transactions on Geoscience and Remote Sensing, 46 (9): 2708-2719, 2008.
- Gaucherel, C., Balasubramanian, M., Karunakaran, P.V. , Ramesh, B.R. , Muthu, S. , Couteron, P., Hély-Alleaume, C., At which scales does landscape structures influence the spatial distribution of elephants in Western Ghats? Journal of Zoology, 280: 185-194 (2010).
3. DYPAL
DYPAL, short for DYnamic PAtchy Landscape modelling platform, is a convenient tool dedicated to ecologists (researchers) and landscape managers, and for educational purposes. On the one hand, DYPAL is able to simulate observed landscape dynamics to verify that these dynamics have been correctly understood, and to infer the most probable drivers for them. On the other hand, DYPAL provides a computer-aided projection of strategies in landscape ecology and environmental sciences.
References
- Gaucherel, C., Boudon, F., Houet, T., Castets, M., Godin, C., Understanding Patchy Landscape Dynamics: Towards a Landscape Language. PLOS One, In press (2012).
- Gaucherel, C., Griffon, S., Houet, T., Misson, L. Combining process-based models for future biomass assessment at landscape scale. Landscape Ecology, 25 (2): 201-215 (2010).
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4. SSM
SSM, short for Self-Similarity Map, is a convenient tool meant to help in analysing and characterising river networks. Starting from a loaded channel network (whatever its maximal Stralher order), the software computes various maps and statistics related to its geometry and its topology. Among others, it provides a stream-length map, a network-density map, a distance-to-the-outlet map, a cumulated-surface map, a width-function map, a sinuosity map, a (stream-length) fractal-dimension map, and the corresponding fractal estimations. It allows one to export all results in JPEG and Ascii formats for further analyses.
References
- Gaucherel, C., Salomon, L., Labonne, J., Variable self-similar sinuosity properties within simulated river networks. Earth Surface Processes and Landforms, 36(10): 1313-1320 (2011).
- Rodriguez‐Iturbe I, Rinaldo A. 1997. Fractal River Basins: Chance and Self‐Organization. Cambridge University Press: New York.
- Gaucherel C. 2003. Pertinence de la notion d’indicateur pour la caractérisation du bassin versant. L’Espace Géographique 3: 265–281.
5. DXM
DXM is a convenient tool dedicated to researchers in environmental sciences and for educational purposes. DXM aims to assist in analysing and quantifying time series with the help of non-stationary signal analysis methods. Starting from a loaded time series (whatever its length and time resolution), the software computes various maps and statistics related to variability and non-stationarity properties. Among others, it provides computations of Fourier and Autocorrelation spectra, SSA (Singular Spectrum Analysis), wavelet transforms, and DXM extended auto-correlations (cyclostationarity).
References
- Gaucherel, C., A study of the possible extended influence of the ENSO phenomenon. Comptes Rendus Geoscience, 2004. 336(3): p. 175-185.
- Gaucherel, C., Use of wavelet transform for temporal characterization of remote watersheds. Journal of Hydrology, 2002. 269(3-4): p. 101-121.
- Gaucherel, C., Analysis of ENSO interannual oscillations using non-stationary quasi-periodic statistics: a study of ENSO memory. International Journal of Climatology, DOI: 10.1002/joc.1937 (2010).