Model of Canine Cancer Incidence (v 2.0)

The table presents the canine cancer incidence and explanatory factors computed within Swiss municipal units. In detail, the table attributes are the following. localityNumber — the unique identifier of Swiss municipal units in 2013 according to the Swiss Federal Office of Statistics. canineCancer_count — the canine cancer incidence per Swiss municipal unit in 2008 retrieved from Swiss Canine Cancer Registry (SCCR) data. caninePopulation_count — the count of dogs per Swiss municipal unit in 2008 retrieved from Swiss dog census data. canineCancer_ratio — the canine cancer incidence ratio in per thousand per Swiss municipal unit in 2008 combining Swiss Canine Cancer Registry data and Swiss dog census data. femaleRatio_percent — the ratio of female dogs in percent per Swiss municipal unit in 2008 retrieved from Swiss dog census data. ageAverage_years — the average age of dogs in years per Swiss municipal unit in 2008 retrieved from Swiss dog census data. mixedBreed_percent — the ratio of mixed breed dogs in percent per Swiss municipal unit in 2008 retrieved from Swiss dog census data. IncomeTaxProCapita_swissFrancs — the income tax pro capita per Swiss municipal unit in 2008 retrieved from Swiss Federal Tax Administration data. veterinaryCare_distanceMunicipality —distance to the closes veterinary practice in km computed using the areal extent of Swiss municipal units for 2013 computed using Swiss Yellow Page data. veterinaryCare_distanceDasymetric — distance to the closes veterinary practice in km computed using the dasymetrically refined areal extent of Swiss municipal units for 2013 computed using Swiss Yellow Page data. humanDensity_municipality — human population density in 1,000 people/km2 computed using the areal extent of Swiss municipal units in 2008 computed using Swiss Federal Statistical Office data. humanDensity_dasymetric — human population density in 1,000 people/km2 computed using the dasymetrically refined areal extent of Swiss municipal units in 2008 computed using Swiss Federal Statistical Office data.