Uncertainty in Historical Land-Use Reconstructions with Topographic Maps

Covariance of Biophysical Data With Digital Topographic and Land Use Maps Over the FIFE Site

Sampling design is critical in locating ground sampling stations for large-scale climatological field experiments. In the stratified sampling design adopted for the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE), the study region was stratified into 14 different terrain units based on land use/land cover and topographic variables that were hypoth...

Historical Reconstructions

During the last two decades an increasing number of initiatives has sought to construct or reconstruct historic computing devices, and restore original specimens to working order. The feature articles in this issue describe six such projects written by those who delivered the successful outcomes or who were instrumental in their realization. In each of the four reconstruction projects described...

Quantifying Uncertainty of Digital Elevation Models Derived from Topographic Maps

This paper explores a methodology for quantifying the uncertainty of DEMs created by digitising topographic maps. The origins of uncertainty in DEM production were identified and examined. The uncertainty of DEM data was quantified by computing a vector total of Root Mean Square Error (RMSE) from the source map, sampling and measurement errors, and the interpolation process. Distributional meas...

Accurate segmentation of land regions in historical cadastral maps

Mode estimation with topographic maps

The paper reviews thoroughly a variety of issues related to mode estimation. The potential of self-organizing maps as an approach to mode detection is inquired here. The batch version of the standard SOM and a convex adjustment of it are compared with two kernel-based learning rules, namely, the generative topographic mapping and the kernelbased maximum entropy learning rule. A strategy for mod...