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  "Title": "Spatial Early Warning Signals of Ecosystem Degradation",
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  "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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    "indicator_psdtype",
    "indictest",
    "kbdm_sews",
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    "pair_counts",
    "patchdistr_sews",
    "patchsizes",
    "percolation",
    "pl_fit",
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    "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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      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
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      "table": true,
      "tojson": true
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      "title": "Density-dependent aggregation model",
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      "class": [
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        "beta",
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        "tau",
        "cover_threshold_u"
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      "tojson": true
    },
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      "title": "A list of binary matrices and their associated parameters",
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      "class": [
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        "delta"
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      "table": true,
      "tojson": true
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      "class": [
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      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
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      "title": "Serengeti dataset",
      "object": "serengeti.rain",
      "class": [
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      ],
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      "table": false,
      "tojson": true
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      "title": "Aerial views of vegetation from Arizona, USA",
      "topics": [
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      ]
    },
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      "page": "coarse_grain",
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    },
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      "topics": [
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      ]
    },
    {
      "page": "create_indicator",
      "title": "Custom Spatial Early-Warning signals",
      "topics": [
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        "create_indicator",
        "custom_indicator"
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    },
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      ]
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      "title": "Display size information of a sews_result object",
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        "display_size_info.list",
        "display_size_info.sews_result_list",
        "display_size_info.sews_result_single"
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    {
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      "topics": [
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        "LSW_fit",
        "pLSW"
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    },
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      "page": "extract_spectrum",
      "title": "Extract the r-spectrum from objects",
      "topics": [
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      ]
    },
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    {
      "page": "generic_sews",
      "title": "Generic Spatial Early-Warning signals",
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      ]
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    {
      "page": "indicator_plrange",
      "title": "Power-law range indicator",
      "topics": [
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    },
    {
      "page": "indicator_psdtype",
      "title": "Change in patch-size distributions types",
      "topics": [
        "indicator_psdtype"
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    },
    {
      "page": "indictest",
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      "topics": [
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    },
    {
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      "title": "Indicator based on Kolmogorov Complexity",
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    },
    {
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      "title": "Labelling of unique patches and detection of percolation.",
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        "label",
        "percolation"
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    },
    {
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      "title": "Indicators based on the LSW distribution",
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        "raw_patch_radii_skewness"
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        "predict.patchdistr_sews_single"
      ]
    },
    {
      "page": "patchsizes",
      "title": "Get patch sizes.",
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      ]
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      "page": "pl_fit",
      "title": "Distribution-fitting functions",
      "topics": [
        "exp_fit",
        "lnorm_fit",
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        "tpl_fit"
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        "plot.simple_sews_test"
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      "title": "Moran's Index at lag of 1",
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      "title": "Skewness indicator",
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        "raw_cg_skewness"
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      "title": "Spatial variance indicator",
      "topics": [
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    },
    {
      "page": "raw_clustering",
      "title": "Clustering of pairs",
      "topics": [
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        "raw_clustering"
      ]
    },
    {
      "page": "raw_flowlength_uniform",
      "title": "Flow length (uniform slope)",
      "topics": [
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    },
    {
      "page": "raw_kbdm",
      "title": "Kolmogorov complexity of a matrix",
      "topics": [
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    },
    {
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      "title": "Spatial correlation at lag 1",
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    },
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      "title": "Power-law range indicator",
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    },
    {
      "page": "raw_sdr",
      "title": "Spectral Density Ratio (SDR) indicator",
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    },
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      "page": "raw_structvar",
      "title": "Structural variance",
      "topics": [
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    },
    {
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      "title": "Variogram parameters",
      "topics": [
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      "page": "rspectrum",
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      "topics": [
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    },
    {
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      "title": "Serengeti dataset",
      "topics": [
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        "serengeti.rain"
      ]
    },
    {
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      "title": "'simple_sews' objects",
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