{
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  "Package": "geomultistar",
  "Title": "Multidimensional Queries Enriched with Geographic Data",
  "Version": "1.2.2.9000",
  "Authors@R": "c(\nperson(\"Jose\", \"Samos\", , \"jsamos@ugr.es\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-4457-3439\")),\nperson(\"Universidad de Granada\", role = \"cph\")\n)",
  "Description": "Multidimensional systems allow complex queries to be\ncarried out in an easy way. The geographical dimension,\ntogether with the temporal dimension, plays a fundamental role\nin multidimensional systems. Through this package, vector\ngeographic data layers can be associated to the attributes of\ngeographic dimensions, so that the results of multidimensional\nqueries can be obtained directly as vector layers.  The\nmultidimensional structures on which we can define the queries\ncan be created from a flat table or imported directly using\nfunctions from this package.",
  "License": "MIT + file LICENSE",
  "URL": "https://josesamos.github.io/geomultistar/,\nhttps://github.com/josesamos/geomultistar",
  "BugReports": "https://github.com/josesamos/geomultistar/issues",
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  "Repository": "https://josesamos.r-universe.dev",
  "Date/Publication": "2024-07-29 05:16:52 UTC",
  "RemoteUrl": "https://github.com/josesamos/geomultistar",
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    "User": "root"
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  "Author": "Jose Samos [aut, cre] (ORCID: <https://orcid.org/0000-0002-4457-3439>),\nUniversidad de Granada [cph]",
  "Maintainer": "Jose Samos <jsamos@ugr.es>",
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  "_published": "2026-05-22T10:51:49.563Z",
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    "name": "JOSE SAMOS JIMENEZ",
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  "_assets": [
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      "date": "2020-09-30"
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      "date": "2020-11-15"
    },
    {
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      "date": "2023-10-09"
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      "date": "2023-11-11"
    },
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      "date": "2024-01-09"
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    "add_facts",
    "define_geoattribute",
    "dimensional_query",
    "filter_dimension",
    "geomultistar",
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    "multistar",
    "multistar_as_flat_table",
    "relate_dimension",
    "run_geoquery",
    "run_query",
    "save_as_geopackage",
    "select_dimension",
    "select_fact"
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      "title": "Mortality Reporting System by Age Test",
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        "tbl",
        "data.frame"
      ],
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        "Reception Week",
        "Reception Date",
        "Data Availability Year",
        "Data Availability Week",
        "Data Availability Date",
        "Year",
        "WEEK",
        "Week Ending Date",
        "REGION",
        "State",
        "City",
        "Age Range",
        "Deaths"
      ],
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      "tojson": true
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        "tbl",
        "data.frame"
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        "count"
      ],
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      "title": "Fact _cause_",
      "object": "mrs_fact_cause",
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        "tbl",
        "data.frame"
      ],
      "fields": [
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        "when_fk",
        "pneumonia_and_influenza_deaths",
        "other_deaths",
        "count"
      ],
      "rows": 1278,
      "table": true,
      "tojson": true
    },
    {
      "name": "mrs_when",
      "title": "Dimension _when_",
      "object": "mrs_when",
      "class": [
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        "tbl",
        "data.frame"
      ],
      "fields": [
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        "date",
        "week",
        "year"
      ],
      "rows": 85,
      "table": true,
      "tojson": true
    },
    {
      "name": "mrs_where",
      "title": "Dimension _where_",
      "object": "mrs_where",
      "class": [
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        "tbl",
        "data.frame"
      ],
      "fields": [
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        "region",
        "region_name",
        "division",
        "division_name",
        "state",
        "state_name",
        "county",
        "city"
      ],
      "rows": 121,
      "table": true,
      "tojson": true
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        "tbl",
        "data.frame"
      ],
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        "wide_age_range"
      ],
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      "table": true,
      "tojson": true
    },
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        "multistar"
      ],
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      "table": false,
      "tojson": false
    },
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      ],
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      "table": false,
      "tojson": false
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      "tojson": false
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      "tojson": true
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        "county",
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        "longitude",
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        "data.frame"
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        "data.frame"
      ],
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        "state",
        "state_name",
        "geometry"
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      "table": false,
      "tojson": true
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  "_help": [
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      "page": "add_dimension",
      "title": "Add a dimension table to a 'multistar'",
      "concept": [
        "multistar functions"
      ],
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        "add_dimension",
        "add_dimension.multistar"
      ]
    },
    {
      "page": "add_facts",
      "title": "Add a fact table to a 'multistar'",
      "concept": [
        "multistar functions"
      ],
      "topics": [
        "add_facts",
        "add_facts.multistar"
      ]
    },
    {
      "page": "define_geoattribute",
      "title": "Define geographic attributes",
      "concept": [
        "geo functions"
      ],
      "topics": [
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        "define_geoattribute.geomultistar"
      ]
    },
    {
      "page": "dimensional_query",
      "title": "'dimensional_query' S3 class",
      "concept": [
        "query functions"
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      "topics": [
        "dimensional_query"
      ]
    },
    {
      "page": "filter_dimension",
      "title": "Filter dimension",
      "concept": [
        "query functions"
      ],
      "topics": [
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        "filter_dimension.dimensional_query"
      ]
    },
    {
      "page": "geomultistar",
      "title": "'geomultistar' S3 class",
      "concept": [
        "geo functions"
      ],
      "topics": [
        "geomultistar"
      ]
    },
    {
      "page": "get_empty_geoinstances",
      "title": "Get empty instances of a geographic attribute",
      "concept": [
        "geo functions"
      ],
      "topics": [
        "get_empty_geoinstances",
        "get_empty_geoinstances.geomultistar"
      ]
    },
    {
      "page": "mrs_age_test",
      "title": "Mortality Reporting System by Age Test",
      "topics": [
        "mrs_age_test"
      ]
    },
    {
      "page": "mrs_fact_age",
      "title": "Fact _age_",
      "topics": [
        "mrs_fact_age"
      ]
    },
    {
      "page": "mrs_fact_cause",
      "title": "Fact _cause_",
      "topics": [
        "mrs_fact_cause"
      ]
    },
    {
      "page": "mrs_when",
      "title": "Dimension _when_",
      "topics": [
        "mrs_when"
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      "title": "Dimension _where_",
      "topics": [
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      ]
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      "title": "Dimension _who_",
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      ]
    },
    {
      "page": "ms_mrs",
      "title": "Multistar for Mortality Reporting System",
      "topics": [
        "ms_mrs"
      ]
    },
    {
      "page": "ms_mrs_test",
      "title": "Multistar for Mortality Reporting System Test",
      "topics": [
        "ms_mrs_test"
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    },
    {
      "page": "multistar",
      "title": "'multistar' S3 class",
      "concept": [
        "multistar functions"
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      "topics": [
        "multistar"
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    },
    {
      "page": "multistar_as_flat_table",
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      "concept": [
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      ],
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        "multistar_as_flat_table.multistar"
      ]
    },
    {
      "page": "relate_dimension",
      "title": "Relate a dimension table to a fact table in a 'multistar'",
      "concept": [
        "multistar functions"
      ],
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        "relate_dimension",
        "relate_dimension.multistar"
      ]
    },
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      "page": "run_geoquery",
      "title": "Get a geographic vector from a query",
      "concept": [
        "geo functions"
      ],
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        "run_geoquery.dimensional_query"
      ]
    },
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      "concept": [
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        "run_query.dimensional_query"
      ]
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      "page": "save_as_geopackage",
      "title": "Save as geopackage",
      "topics": [
        "save_as_geopackage"
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    },
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      "title": "Select dimension",
      "concept": [
        "query functions"
      ],
      "topics": [
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        "select_dimension.dimensional_query"
      ]
    },
    {
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      "title": "Select fact",
      "concept": [
        "query functions"
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        "select_fact",
        "select_fact.dimensional_query"
      ]
    },
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      "page": "st_mrs_age_test",
      "title": "Star Schema for Mortality Reporting System by Age Test",
      "topics": [
        "st_mrs_age_test"
      ]
    },
    {
      "page": "uk_london_boroughs",
      "title": "UK London Boroughs",
      "topics": [
        "uk_london_boroughs"
      ]
    },
    {
      "page": "usa_cities",
      "title": "USA Cities, 2014",
      "topics": [
        "usa_cities"
      ]
    },
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      "page": "usa_counties",
      "title": "USA Counties, 2018",
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      "page": "usa_divisions",
      "title": "USA Divisions, 2018",
      "topics": [
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    },
    {
      "page": "usa_nation",
      "title": "USA Nation, 2018",
      "topics": [
        "usa_nation"
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    },
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      "page": "usa_regions",
      "title": "USA Regions, 2018",
      "topics": [
        "usa_regions"
      ]
    },
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      "page": "usa_states",
      "title": "USA States, 2018",
      "topics": [
        "usa_states"
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  "_readme": "https://github.com/josesamos/geomultistar/raw/HEAD/README.md",
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      "source": "geomultistar.Rmd",
      "filename": "geomultistar.html",
      "title": "Queries on Multidimensional Data Enriched with Geographic Information",
      "author": "Jose Samos (jsamos@ugr.es)",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Get a multistar object",
        "Get a multistar object from the rolap package",
        "Generate a multistar object",
        "Add fact tables",
        "Add dimension tables",
        "Relate dimensions",
        "Additional operations on the multistar object",
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        "filter_dimension()",
        "run_query()",
        "Add geographic information",
        "Define geographic dimensions and attributes",
        "Run queries adding geographic information",
        "Get wide tables",
        "Conclusions"
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      "modified": "2023-11-11 18:44:44",
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