Longitudinal data Geospatial data Geographical data + Data custodians 7 Opportunities and barriers Current landscape: • Fragmented data • Lacking ‘good’ documentation (particularly concerning technical data/issues) • (Spatial) data integration demands deep technical and methodological knowledge Consequences: • Duplication • Lack of consistency given the need for individualised approaches; lack of. [...] Mid-level user Advanced user • Confident with understanding and tweaking R scripts • Confident with using Python and/or R for • Experienced in the use of Stata software data wrangling, integration, and analysis • Limited understanding of geospatial data • Good understanding of geospatial data • Needs to integrate longitudinal and geospatial data for • Needs to integrate longitudinal and analysis g. [...] (Gujarati, 2011) Examples: • Population census • Consumer Expenditure Surveys • Opinion polls Time 16 Longitudinal Survey data Longitudinal data (panel data): repeatedly collect data from the same sample over an extended period Examples: • Household, Income and Labour Dynamics in Australia (HILDA) • Longitudinal Surveys of Australian Youth (LSAY) Time à 17 Survey data Cross-sectional Longitudinal. [...] Z_ABS_2011 Columns SA3 - 2021 Columns 10102 x x_2011 y_2011 z_2011 1 x … … … 2301 10103 x 1 … … … 2299 2 x … … … 2301 10104 x 2 … … … 2299 3 x … … … 2301 … … … … … … 2301… 3 … … … 2299 … … … … … … 2299 … … … … … 2301 Rows 14251 14251 14251 14251 Rows 14251 Rows 358 358 358 3. [...] Columns SA3 - 2021 STIDSTD 11 11 STIDSTD 11 11 STIDSTD SA3 - 2021 x_2011 SAY_2011 1 x … … … 2301 x … … … 808 x 10102 … … … 3108 2 x … … … 2301 x … … … 808 x 10103 … … … 3108 3 x … … … 2301 x … … … 808 x 10104 … … … 3108 … … … … … 2301 … … … … 808 … … … … … 3108 … … … … … 2301 … … … … 808 … … … … … 3108 Rows 14251 14251 14251 Rows 14251 14251 14251 14251 14251 14251 14251 14251 R Functions 71 R lib.
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