terriajs
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Geospatial data visualization platform.
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{
"data": {
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{
"type": "CONTEXT",
"text": "If a unit multiplier exists the data is recorded according to the combination of the unit multiplier and the unit of measure.",
"texts": {
"en": "If a unit multiplier exists the data is recorded according to the combination of the unit multiplier and the unit of measure."
}
}
],
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "UNIT_MULT",
"name": "Unit of Multiplier",
"names": { "en": "Unit of Multiplier" },
"description": "The multiple of the unit of measure for which the data is expressed.",
"descriptions": {
"en": "The multiple of the unit of measure for which the data is expressed."
},
"annotations": [
{
"type": "CONTEXT",
"text": "Codes for unit of multiplier are the exponent in base 10 so that multiplying the observation by 10^UNIT_MULT gives a value expressed in the unit of measure.",
"texts": {
"en": "Codes for unit of multiplier are the exponent in base 10 so that multiplying the observation by 10^UNIT_MULT gives a value expressed in the unit of measure."
}
}
],
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "OBS_STATUS",
"name": "Observation Status",
"names": { "en": "Observation Status" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "OBS_COMMENT",
"name": "Observation Comment",
"names": { "en": "Observation Comment" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "REPYEAREND",
"name": "Reporting Year End Day",
"names": { "en": "Reporting Year End Day" },
"description": "A month day that specifies the ending day of the reporting periods (e.g. YYYY-A1) within the datastucture.",
"descriptions": {
"en": "A month day that specifies the ending day of the reporting periods (e.g. YYYY-A1) within the datastucture."
},
"annotations": [
{
"type": "CONTEXT",
"text": "The use of reporting year end day also specifies that the reporting period of YYYY-A1 references an earlier period (e.g. 2018-A1 will be equivalent to 2017/18 and not 2018/19).",
"texts": {
"en": "The use of reporting year end day also specifies that the reporting period of YYYY-A1 references an earlier period (e.g. 2018-A1 will be equivalent to 2017/18 and not 2018/19)."
}
}
],
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "BASE_PERIOD",
"name": "Reference Base Period",
"names": { "en": "Reference Base Period" },
"description": "Reference Period that the value has been based against.",
"descriptions": {
"en": "Reference Period that the value has been based against."
},
"links": [{ "rel": "self", "type": "concept" }]
}
]
},
{
"id": "CS_COMMON",
"links": [{ "rel": "self", "type": "conceptscheme" }],
"version": "1.0.0",
"agencyID": "ABS",
"isFinal": true,
"name": "Common Concepts",
"names": { "en": "Common Concepts" },
"isPartial": false,
"concepts": [
{
"id": "OBS_VALUE",
"name": "Observation Value",
"names": { "en": "Observation Value" },
"description": "The observed value of the variable identified by the series dimension values.",
"descriptions": {
"en": "The observed value of the variable identified by the series dimension values."
},
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "TIME_PERIOD",
"name": "Time Period",
"names": { "en": "Time Period" },
"description": "Timespan or point in time for which the observation refers.",
"descriptions": {
"en": "Timespan or point in time for which the observation refers."
},
"annotations": [
{
"type": "CONTEXT",
"text": "The measurement represented by each observation corresponds to a specific point in time (e.g. a single day) or a period (e.g. a month, a fiscal year, or a calendar year).",
"texts": {
"en": "The measurement represented by each observation corresponds to a specific point in time (e.g. a single day) or a period (e.g. a month, a fiscal year, or a calendar year)."
}
}
],
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "FREQ",
"name": "Frequency",
"names": { "en": "Frequency" },
"description": "Rate at which data is collated.",
"descriptions": { "en": "Rate at which data is collated." },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "MEASURE",
"name": "Measure",
"names": { "en": "Measure" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "TSEST",
"name": "Adjustment Type",
"names": { "en": "Adjustment Type" },
"description": "An original time series can be decomposed into three components: the trend (the general direction of the series), the seasonal component (systematic, calendar related movements) and the irregular component (unsystematic, short term fluctuations). Seasonally adjusted series are produced by estimating the seasonal component and removing this from the original series. In most economic data the seasonal component is a combination of seasonal influences (e.g. the effect of the weather or social traditions) plus other kinds of calendar related variations such as Chinese New Year and Christmas. The seasonal adjustment methodology takes into account both seasonal and other calendar related factors that evolve over time to reflect changes in activity patterns.",
"descriptions": {
"en": "An original time series can be decomposed into three components: the trend (the general direction of the series), the seasonal component (systematic, calendar related movements) and the irregular component (unsystematic, short term fluctuations). Seasonally adjusted series are produced by estimating the seasonal component and removing this from the original series. In most economic data the seasonal component is a combination of seasonal influences (e.g. the effect of the weather or social traditions) plus other kinds of calendar related variations such as Chinese New Year and Christmas. The seasonal adjustment methodology takes into account both seasonal and other calendar related factors that evolve over time to reflect changes in activity patterns."
},
"annotations": [
{
"type": "OTHER_LINKS",
"text": "https://www.abs.gov.au/websitedbs/D3310114.nsf/home/Time+Series+Analysis:+The+Basics",
"texts": {
"en": "https://www.abs.gov.au/websitedbs/D3310114.nsf/home/Time+Series+Analysis:+The+Basics"
}
}
],
"links": [{ "rel": "self", "type": "concept" }]
}
]
},
{
"id": "CS_GEOGRAPHY",
"links": [{ "rel": "self", "type": "conceptscheme" }],
"version": "1.0.0",
"agencyID": "ABS",
"isFinal": true,
"name": "Geography Concepts",
"names": { "en": "Geography Concepts" },
"isPartial": false,
"concepts": [
{
"id": "REGION",
"name": "Region",
"names": { "en": "Region" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "REGION_ARR",
"name": "Region of Arrival",
"names": { "en": "Region of Arrival" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "REGION"
},
{
"id": "REGION_DEP",
"name": "Region of Departure",
"names": { "en": "Region of Departure" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "REGION"
},
{
"id": "REGION_TYPE",
"name": "Region Type",
"names": { "en": "Region Type" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "GEO_LEVEL",
"name": "Geography Level",
"names": { "en": "Geography Level" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "STATE",
"name": "State",
"names": { "en": "State" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "STATE_ORIGIN",
"name": "State of Origin",
"names": { "en": "State of Origin" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "STATE"
},
{
"id": "STATE_DEST",
"name": "State of Destination",
"names": { "en": "State of Destination" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "STATE"
},
{
"id": "STATE_ARR",
"name": "State of Arrival",
"names": { "en": "State of Arrival" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "STATE"
},
{
"id": "STATE_DEP",
"name": "State of Departure",
"names": { "en": "State of Departure" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "STATE"
},
{
"id": "STATE_TERR",
"name": "States and Territories",
"names": { "en": "States and Territories" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "COUNTRY",
"name": "Country",
"names": { "en": "Country" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "COUNTRY_ORIGIN",
"name": "Country of Origin",
"names": { "en": "Country of Origin" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "COUNTRY"
},
{
"id": "COUNTRY_DEST",
"name": "Country of Destination",
"names": { "en": "Country of Destination" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "COUNTRY"
},
{
"id": "COUNTRY_BIRTH",
"name": "Country of Birth",
"names": { "en": "Country of Birth" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "COUNTRY"
},
{
"id": "COUNTRY_RESID",
"name": "Country of Stay/Residence",
"names": { "en": "Country of Stay/Residence" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "COUNTRY"
},
{
"id": "FED",
"name": "Federal Electoral Division",
"names": { "en": "Federal Electoral Division" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "IND_REGION",
"name": "Indigenous Region",
"names": { "en": "Indigenous Region" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "LGA",
"name": "Local Government Area",
"names": { "en": "Local Government Area" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "LGA_2011",
"name": "Local Government Areas - 2011",
"names": { "en": "Local Government Areas - 2011" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "LGA"
},
{
"id": "LGA_2016",
"name": "Local Government Areas - 2016",
"names": { "en": "Local Government Areas - 2016" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "LGA"
},
{
"id": "POA",
"name": "Postal Area Code",
"names": { "en": "Postal Area Code" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "REMOTE",
"name": "Remoteness Area",
"names": { "en": "Remoteness Area" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "SA2",
"name": "Statistical Area Level 2 (SA2)",
"names": { "en": "Statistical Area Level 2 (SA2)" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "SSC",
"name": "State Suburb",
"names": { "en": "State Suburb" },
"links": [{ "rel": "self", "type": "concept" }]
}
]
},
{
"id": "CS_INDUSTRY",
"links": [{ "rel": "self", "type": "conceptscheme" }],
"version": "1.0.0",
"agencyID": "ABS",
"isFinal": true,
"name": "Industry Concepts",
"names": { "en": "Industry Concepts" },
"isPartial": false,
"concepts": [
{
"id": "INDUSTRY",
"name": "Industry",
"names": { "en": "Industry" },
"links": [{ "rel": "self", "type": "concept" }]
},
{
"id": "INDUSTRY_ORIGIN",
"name": "Industry of Origin",
"names": { "en": "Industry of Origin" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "INDUSTRY"
},
{
"id": "INDUSTRY_EMP",
"name": "Industry of Employment",
"names": { "en": "Industry of Employment" },
"links": [{ "rel": "self", "type": "concept" }],
"parent": "INDUSTRY"
},
{
"id": "INDUSTRY_RETAIL",
"name": "Retail Industry",
"names": { "en": "Retail Industry" },
"links": [{ "rel": "self", "type": "concept" }]
}
]
}
],
"codelists": [
{
"id": "CL_FREQ",
"links": [{ "rel": "self", "type": "codelist" }],
"version": "1.0.0",
"agencyID": "ABS",
"isFinal": true,
"name": "Frequency",
"names": { "en": "Frequency" },
"isPartial": false,
"codes": [
{
"id": "H",
"name": "Hourly",
"names": { "en": "Hourly" },
"description": "To be used for data collected or disseminated every hour.",
"descriptions": {
"en": "To be used for data collected or disseminated every hour."
},
"links": [{ "rel": "self", "type": "code" }]
},
{
"id": "D",
"name": "Daily",
"names": { "en": "Daily" },
"description": "To be used for data collected or disseminated every day.",
"descriptions": {
"en": "To be used for data collected or disseminated every day."
},
"links": [{ "rel": "self", "type": "code" }]
},
{
"id": "N",
"name": "Minutely",
"names": { "en": "Minutely" },
"description": "While N denotes \"minutely\", usually, there may be no observations every minute (for several series the frequency is usually \"irregular\" within a day/days). And though observations may be sparse (not collected or disseminated every minute), missing values do not need to be given for the minutes when no observations exist: in any case the time stamp determines when an observation is observed.",
"descriptions": {
"en": "While N denotes \"minutely\", usually, there may be no observations every minute (for several series the frequency is usually \"irregular\" within a day/days). And though observations may be sparse (not collected or disseminated every minute), missing values do not need to be given for the minutes when no observations exist: in any case the time stamp determines when an observation is observed."
},
"links": [{ "rel": "self", "type": "code" }]
},
{
"id": "B",
"name": "Daily or businessweek",
"names": { "en": "Daily or businessweek" },
"description": "Similar to \"daily\", however there are no observations for Saturdays and Sundays (so, neither \"missing values\" nor \"numeric values\" should be provided for Saturday and Sunday). This treatment (\"business\") is one way to deal with such cases, but it is not the only option. Such a time series could alternatively be considered daily (\"D\"), thus, with missing values in the weekend.",
"descriptions": {
"en": "Similar to \"daily\", however there are no observations for Saturdays and Sundays (so, neither \"missing values\" nor \"numeric values\" should be provided for Saturday and Sunday). This treatment (\"business\") is one way to deal with such cases, but it is not the only option. Such a time series could alternatively be considered daily (\"D\"), thus, with missing values in the weekend."
},
"links": [{ "rel": "self", "type": "code" }]
},
{
"id": "W",
"name": "Weekly",
"names": { "en": "Weekly" },
"description": "To be used for data collected or disseminated every we