Inference, said Toulmin, is not timeless, universal, "field-invariant", but has to be done quite differently depending on the data – different types of justification are demanded in the different areas of geometry, natural science, sociology, law, ethics or whatever, and expected from the popular press, in conversation, or from an expert.
Often there are significant offsets between different maps or topological differences due to varying accuracy of the digitalisation from analogue map data, different manufacturing methods, and changes of the road network over time [27].
"Using the same data, different countries have come to different conclusions on opening or closing airspace".
Off Plimer went with another series of random facts, about corrections of satellite data, different datasets: anything but address his reversal of the findings of the paper he referenced.
To evaluate the measurement data, different physical models are discussed.
By clustering the Thomeer parameters of each MICP data, different rock types can be distinguished.
Depending on the application type and the amount of data, different solutions are possible.
For each type of data different statistical techniques and methods of evaluation have been devised.
Based on these data, different molecular descriptors were used to solve this problem.
From these sensor data, different scenarios had to be perceived following the information processing principles proposed in Section 4.1.
With noise and chaos in the observed data, different time series have different upper limit of prediction accuracy [3, 4].
