The major objective of this study is to investigate the aggregation (class number), and scale (cell size) dependence of the contagion landscape indices. A detailed statistical analysis of theoretical habitat patterns using 1 km cell size, 64 and 81 ha areas has been delineated. Simple aggregated and dispersed, regular and irregular patterns were created, and their characteristics were revealed by using contagion type landscape metrics (aggregation, intermixing and subdivision indices) on the class and landscape level, as well as the influence of the number of classes and spatial resolution in their values. Cross-correlations were also explored. Our results show that all metrics are sensitive to the number of classes; they produced different values using the same pattern for 2-3-4 classes, except with the Aggregation Index. Resolution (cell size) has a significant effect on the values of the aggregation indices: comparing the applied 100, 250 and 500 m resolutions to the native 1000 m, it has been observed that the range of values decreased to half of the possible. This means that aggregation indices need a heuristically determined cell size that differs from the needs of other metrics. This study highlights that the interspersion and subdivision indices are not scale dependent landscape indices. Aggregation metrics (Aggregation Index, Percentage of Like Adjacencies, Clumpiness Index) and subdivision metrics (Effective Mesh Size, Splitting Index, Division Index) do not correlate with each other, but they are in a strong relationship within their groups. The Interspersion Index does not correlate with these landscapes metric parameters; its application can be recommended due to its uniqueness. Despite the strong correlations, it is advisable to use the indices in parallel according to the differing calculation methods on landscape ecological planning. Cross-correlation matrix changes with the grain size, but it is not significant.