Skip to main content

Table 3 Features with the highest weights for prediction of different alpha diversity metrics for Prokaryotes and Eukaryotes in Austrian lakes

From: SEDE-GPS: socio-economic data enrichment based on GPS information

Prokaryotes
Chao1 Shannon Entropy Simpson Diversity Simpson Evenness
Industrial Area, Villages, Street (2-5 km) Forests (5km) Forests (5km) Forests (5km)
Forests (5km) Main street (small), married people Forests Main street (small), married people
Climate, Demography, City Structures Forests (2km) Buildings, Highways, Water, Parking, Parks Forests (1km)
Climate, Demography, City Structures Climate, Demography, City Structures Forests (1km) Buildings, Highways, Water, Parking, Parks
Main street (small), married people Green space, small villages, Industrial area Mining, main streets Mining, main streets
Eukaryotes    
Chao1 Shannon Entropy Simpson Diversity Simpson Evenness
Forests Main streets Main streets Economy (parking, GDP, Agrarian structures), Population
Family Demography Beach & Water Beach & Water Economy (parking, GDP, Agrarian structures), Population
Climate, Demography, City Structures Picnic Site (5km) Economy (parking, GDP, Agrarian structures), Population Beach & Water
Altitude, Climate, Demography, City Structures Highway Pull-ins Towns Towns
Climate, Demography, City Structures Urban regions, Av. Temperature, Parks Urban regions, Av. Temp., Parks Highway Pull-ins
  1. For features in bold, a linear regression shows a positive relationship with the respective target variable