Stefan Leyk

TL;DR: This article presents an overview of existing map processing techniques, bringing together the past and current research efforts in this interdisciplinary field, to characterize the advances that have been made, and to identify future research directions and opportunities.

TL;DR: A set of large-scale gridded datasets representing population counts or densities is presented, compares and discusses and focuses on data properties, methodological approaches and relative quality aspects that are important to fully understand the characteristics of the data with regard to the intended uses.

TL;DR: This work combined satellite and citizen science data to estimate rates of change in phenological interval between spring green-up and migratory arrival for 48 breeding passerine species across North America, highlighting that phenologies of species and trophic levels can shift at different rates, potentially leading to phenological mismatches with negative fitness consequences.

TL;DR: A conceptual framework for systematic investigation of uncertainty which occurs in applications of land cover change modelling in GIS based on historical map data is presented and can be linked to subsequent assessment of ‘fitness for use’.

TL;DR: An application of the penalized maximum entropy dasymetric model (P–MEDM) is presented that includes household-level survey data combined with higher spatial resolution data such as from census tracts, block groups, and land cover classifications.