{
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  "Title": "Spatial Early Warning Signals of Ecosystem Degradation",
  "Version": "3.1.99",
  "Authors@R": "c(person(given = \"Alain\",\nfamily = \"Danet\",\nrole = \"aut\"),\nperson(given = \"Alexandre\",\nfamily = \"Genin\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-3333-1338\"),\nemail = \"alexandre.genin@sete.cnrs.fr\"),\nperson(given = \"Vishwesha\",\nfamily = \"Guttal\",\nrole = \"aut\"),\nperson(given = \"Sonia\",\nfamily = \"Kefi\",\nrole = \"aut\"),\nperson(given = \"Sabiha\",\nfamily = \"Majumder\",\nrole = \"aut\"),\nperson(given = \"Sumithra\",\nfamily = \"Sankaran\",\nrole = \"aut\"),\nperson(given = \"Florian\",\nfamily = \"Schneider\",\nrole = \"aut\"))",
  "License": "MIT + file LICENSE",
  "Maintainer": "Alexandre Genin <alexandre.genin@sete.cnrs.fr>",
  "Description": "Tools to compute and assess significance of early-warnings\nsignals (EWS) of ecosystem degradation. EWS are spatial metrics\nderived from raster data -- e.g. spatial autocorrelation --\nthat increase before an ecosystem undergoes a non-linear\ntransition (Genin et al. (2018) <doi:10.1111/2041-210X.13058>).",
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  "Date/Publication": "2026-01-21 19:26:16 UTC",
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    "flowlength_sews",
    "generic_sews",
    "indicator_plrange",
    "indicator_psdtype",
    "indictest",
    "kbdm_sews",
    "label",
    "lnorm_fit",
    "LSW_fit",
    "lsw_sews",
    "pair_counts",
    "patchdistr_sews",
    "patchsizes",
    "percolation",
    "pl_fit",
    "plot_distr",
    "plot_spectrum",
    "plot_variogram",
    "pLSW",
    "raw_cg_moran",
    "raw_cg_skewness",
    "raw_cg_variance",
    "raw_clustering",
    "raw_flowlength_uniform",
    "raw_kbdm",
    "raw_lsw_aicw",
    "raw_moran",
    "raw_patch_radii_skewness",
    "raw_plrange",
    "raw_sdr",
    "raw_structvar",
    "raw_variogram_metrics",
    "rspectrum",
    "spectral_sews",
    "tpl_fit",
    "variogram_sews",
    "xmin_estim"
  ],
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      "title": "Aerial views of vegetation from Arizona, USA",
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      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "dda",
      "title": "Density-dependent aggregation model",
      "object": "dda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "dda.pars",
      "title": "Density-dependent aggregation model",
      "object": "dda.pars",
      "class": [
        "data.frame"
      ],
      "fields": [
        "alpha",
        "beta",
        "delta",
        "tau",
        "cover_threshold_u"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "forestgap",
      "title": "A list of binary matrices and their associated parameters",
      "object": "forestgap",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "forestgap.pars",
      "title": "A list of binary matrices and their associated parameters",
      "object": "forestgap.pars",
      "class": [
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      ],
      "fields": [
        "ID",
        "alpha",
        "d",
        "delta"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "serengeti",
      "title": "Serengeti dataset",
      "object": "serengeti",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "serengeti.rain",
      "title": "Serengeti dataset",
      "object": "serengeti.rain",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
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      "title": "Aerial views of vegetation from Arizona, USA",
      "topics": [
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      ]
    },
    {
      "page": "coarse_grain",
      "title": "Matrix coarse-graining",
      "topics": [
        "coarse_grain"
      ]
    },
    {
      "page": "convert_to_matrix",
      "title": "Convert an object to a matrix",
      "topics": [
        "convert_to_matrix"
      ]
    },
    {
      "page": "create_indicator",
      "title": "Custom Spatial Early-Warning signals",
      "topics": [
        "compute_indicator",
        "create_indicator",
        "custom_indicator"
      ]
    },
    {
      "page": "dda",
      "title": "Density-dependent aggregation model",
      "topics": [
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        "dda.pars"
      ]
    },
    {
      "page": "display_matrix",
      "title": "Plot a matrix",
      "topics": [
        "display_matrix"
      ]
    },
    {
      "page": "display_size_info",
      "title": "Display size information of a sews_result object",
      "topics": [
        "display_size_info",
        "display_size_info.list",
        "display_size_info.sews_result_list",
        "display_size_info.sews_result_single"
      ]
    },
    {
      "page": "dLSW",
      "title": "The Lifshitz-Slyozov-Wagner distribution",
      "topics": [
        "dLSW",
        "LSW_fit",
        "pLSW"
      ]
    },
    {
      "page": "extract_spectrum",
      "title": "Extract the r-spectrum from objects",
      "topics": [
        "extract_spectrum"
      ]
    },
    {
      "page": "extract_variogram",
      "title": "extract_variogram() method for variogram_sews objects",
      "topics": [
        "extract_variogram"
      ]
    },
    {
      "page": "flowlength_sews",
      "title": "Flowlength connectivity indicator (uniform topography)",
      "topics": [
        "flowlength_sews"
      ]
    },
    {
      "page": "forestgap",
      "title": "A list of binary matrices and their associated parameters",
      "topics": [
        "forestgap",
        "forestgap.pars"
      ]
    },
    {
      "page": "generic_sews",
      "title": "Generic Spatial Early-Warning signals",
      "topics": [
        "generic_sews"
      ]
    },
    {
      "page": "indicator_plrange",
      "title": "Power-law range indicator",
      "topics": [
        "indicator_plrange"
      ]
    },
    {
      "page": "indicator_psdtype",
      "title": "Change in patch-size distributions types",
      "topics": [
        "indicator_psdtype"
      ]
    },
    {
      "page": "indictest",
      "title": "Significance-assessment of spatial early-warning signals",
      "topics": [
        "indictest"
      ]
    },
    {
      "page": "kbdm_sews",
      "title": "Indicator based on Kolmogorov Complexity",
      "topics": [
        "kbdm_sews"
      ]
    },
    {
      "page": "label",
      "title": "Labelling of unique patches and detection of percolation.",
      "topics": [
        "label",
        "percolation"
      ]
    },
    {
      "page": "lsw_sews",
      "title": "Indicators based on the LSW distribution",
      "topics": [
        "lsw_sews",
        "raw_lsw_aicw",
        "raw_patch_radii_skewness"
      ]
    },
    {
      "page": "patchdistr_sews",
      "title": "Early-warning signals based on patch size distributions",
      "topics": [
        "patchdistr_sews"
      ]
    },
    {
      "page": "patchdistr_sews_plot",
      "title": "Early-warning signals based on patch size distributions",
      "topics": [
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        "plot.patchdistr_sews",
        "plot_distr"
      ]
    },
    {
      "page": "patchdistr_sews_predict",
      "title": "predict method for patchdistr_sews objects",
      "topics": [
        "patchdistr_sews_predict",
        "predict.patchdistr_sews_single"
      ]
    },
    {
      "page": "patchsizes",
      "title": "Get patch sizes.",
      "topics": [
        "patchsizes"
      ]
    },
    {
      "page": "pl_fit",
      "title": "Distribution-fitting functions",
      "topics": [
        "exp_fit",
        "lnorm_fit",
        "pl_fit",
        "tpl_fit"
      ]
    },
    {
      "page": "plot_spectrum",
      "title": "Display the r-spectrum of a 'spectral_sews' object",
      "topics": [
        "plot_spectrum"
      ]
    },
    {
      "page": "simple_sews_methods",
      "title": "Spatial early-warning signals: display of trends",
      "topics": [
        "plot.simple_sews_list",
        "plot.simple_sews_test"
      ]
    },
    {
      "page": "raw_cg_moran",
      "title": "Moran's Index at lag of 1",
      "topics": [
        "raw_cg_moran"
      ]
    },
    {
      "page": "raw_cg_skewness",
      "title": "Skewness indicator",
      "topics": [
        "raw_cg_skewness"
      ]
    },
    {
      "page": "raw_cg_variance",
      "title": "Spatial variance indicator",
      "topics": [
        "raw_cg_variance"
      ]
    },
    {
      "page": "raw_clustering",
      "title": "Clustering of pairs",
      "topics": [
        "pair_counts",
        "raw_clustering"
      ]
    },
    {
      "page": "raw_flowlength_uniform",
      "title": "Flow length (uniform slope)",
      "topics": [
        "raw_flowlength_uniform"
      ]
    },
    {
      "page": "raw_kbdm",
      "title": "Kolmogorov complexity of a matrix",
      "topics": [
        "raw_kbdm"
      ]
    },
    {
      "page": "raw_moran",
      "title": "Spatial correlation at lag 1",
      "topics": [
        "raw_moran"
      ]
    },
    {
      "page": "raw_plrange",
      "title": "Power-law range indicator",
      "topics": [
        "raw_plrange"
      ]
    },
    {
      "page": "raw_sdr",
      "title": "Spectral Density Ratio (SDR) indicator",
      "topics": [
        "raw_sdr"
      ]
    },
    {
      "page": "raw_structvar",
      "title": "Structural variance",
      "topics": [
        "raw_structvar"
      ]
    },
    {
      "page": "raw_variogram_metrics",
      "title": "Variogram parameters",
      "topics": [
        "raw_variogram_metrics"
      ]
    },
    {
      "page": "rspectrum",
      "title": "r-spectrum",
      "topics": [
        "rspectrum"
      ]
    },
    {
      "page": "serengeti",
      "title": "Serengeti dataset",
      "topics": [
        "serengeti",
        "serengeti.rain"
      ]
    },
    {
      "page": "simple_sews",
      "title": "'simple_sews' objects",
      "topics": [
        "simple_sews",
        "simple_sews_object"
      ]
    },
    {
      "page": "spectral_sews",
      "title": "Spectrum-based spatial early-warning signals.",
      "topics": [
        "spectral_sews"
      ]
    },
    {
      "page": "variogram_sews",
      "title": "Early-Warning signals based on variograms (EXPERIMENTAL)",
      "topics": [
        "variogram_sews"
      ]
    },
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