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  "Title": "Beyond the Border - Kernel Density Estimation for Urban\nGeography",
  "Description": "The kernelSmoothing() function allows you to square and\nsmooth geolocated data. It calculates a classical kernel\nsmoothing (conservative) or a geographically weighted median.\nThere are four major call modes of the function. The first call\nmode is kernelSmoothing(obs, epsg, cellsize, bandwidth) for a\nclassical kernel smoothing and automatic grid. The second call\nmode is kernelSmoothing(obs, epsg, cellsize, bandwidth,\nquantiles) for a geographically weighted median and automatic\ngrid. The third call mode is kernelSmoothing(obs, epsg,\ncellsize, bandwidth, centroids) for a classical kernel\nsmoothing and user grid. The fourth call mode is\nkernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles,\ncentroids) for a geographically weighted median and user grid.\nGeographically weighted summary statistics : a framework for\nlocalised exploratory data analysis, C.Brunsdon & al., in\nComputers, Environment and Urban Systems C.Brunsdon & al.\n(2002) <doi:10.1016/S0198-9715(01)00009-6>, Statistical\nAnalysis of Spatial and Spatio-Temporal Point Patterns, Third\nEdition, Diggle, pp. 83-86, (2003)\n<doi:10.1080/13658816.2014.937718>.",
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  "Date": "2026-01-20",
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  "Maintainer": "Solène Colin <solene.colin@insee.fr>",
  "LazyData": "true",
  "URL": "https://github.com/InseeFr/btb, https://inseefr.github.io/btb/",
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  "Repository": "https://inseefr.r-universe.dev",
  "Date/Publication": "2026-01-20 14:05:01 UTC",
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    "kernelSmoothing"
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        "y"
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      "table": true,
      "tojson": true
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      "object": "dfRestaurantParis",
      "class": [
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        "y",
        "french",
        "caribbean",
        "asian",
        "maghreb",
        "african",
        "european",
        "south_america",
        "indian",
        "world",
        "cafeteria",
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        "brasserie",
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        "restaurant"
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      "title": "Households of Reunion",
      "object": "reunion",
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        "y",
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        "phouhold"
      ],
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      "table": true,
      "tojson": true
    }
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    {
      "page": "btb",
      "title": "Beyond the Border - Kernel Density Estimation for Urban Geography",
      "topics": [
        "btb"
      ]
    },
    {
      "page": "btb_add_centroids",
      "title": "Link points to their centroids",
      "topics": [
        "btb_add_centroids"
      ]
    },
    {
      "page": "btb_add_inspire",
      "title": "Creates Inpire names for a grid",
      "topics": [
        "btb_add_inspire"
      ]
    },
    {
      "page": "btb_ptsToGrid",
      "title": "Compute a grid from centroid points",
      "topics": [
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      ]
    },
    {
      "page": "btb_smooth",
      "title": "Smoothing with a bisquare kernel or median",
      "topics": [
        "btb_smooth"
      ]
    },
    {
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      "title": "constituerGrappes",
      "topics": [
        "constituerGrappes"
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      "title": "constituerMatriceEffectifs",
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      "topics": [
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      "title": "Depreciated function of btb_ptsToGrid",
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        "Install btb",
        "Perform spatial smoothing",
        "Warning with personal data",
        "Smoothing gas station prices",
        "The data",
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        "First smoothing : the density of gas stations",
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        "Quantile smoothing : smooth the distribution of gas prices",
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        "References :",
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