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Instead of quantiles by unit number, use a second variable to classify the first. For example, classify average household income by quintiles of population count as follows: (1) sort units (e.g. neighbourhoods, districts) by avg hhld income; (2) add units from sorted list keeping a cumulative total of the population variable until 20% of total population of study area is reached; (3) start second class and reiterate, etc.. The result is a classification that includes the "poorest quintile" of the population (instead of the set of admin units). The second variable that determines the quantiles has to be a raw-count variable.
fuer die quantile klassifikation koennte man eine zweite variable (e.g., total population per unit) waehlen, und die quantiles waeren nicht abgezaehlte raeumliche einheiten (e.g., neighbourhoods) sondern gleiche kumulative summen (z.b. fuenftel) von der zweiten variablen - d.h., units sortiert nach erster variable (criterion - e.g., household income) aber klassifiziert nach je ein 1/n der zweiten variable (e.g., population). damit koennte man dann sowas ablesen wie: wo leben die reichsten 20% aller torontoer haushalte? nicht: wo sind die 20% reichsten stadtviertel, was man normalerweise sehen wuerde.
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Translating German text below to English:
Instead of quantiles by unit number, use a second variable to classify the first. For example, classify average household income by quintiles of population count as follows: (1) sort units (e.g. neighbourhoods, districts) by avg hhld income; (2) add units from sorted list keeping a cumulative total of the population variable until 20% of total population of study area is reached; (3) start second class and reiterate, etc.. The result is a classification that includes the "poorest quintile" of the population (instead of the set of admin units). The second variable that determines the quantiles has to be a raw-count variable.
fuer die quantile klassifikation koennte man eine zweite variable (e.g., total population per unit) waehlen, und die quantiles waeren nicht abgezaehlte raeumliche einheiten (e.g., neighbourhoods) sondern gleiche kumulative summen (z.b. fuenftel) von der zweiten variablen - d.h., units sortiert nach erster variable (criterion - e.g., household income) aber klassifiziert nach je ein 1/n der zweiten variable (e.g., population). damit koennte man dann sowas ablesen wie: wo leben die reichsten 20% aller torontoer haushalte? nicht: wo sind die 20% reichsten stadtviertel, was man normalerweise sehen wuerde.
The text was updated successfully, but these errors were encountered: