View source: R/qgis_stdbscanclustering.R
qgis_stdbscanclustering | R Documentation |
QGIS Algorithm provided by QGIS (native c++) ST-DBSCAN clustering (native:stdbscanclustering). Clusters spatiotemporal point features using a time and density based scan algorithm. Clusters point features based on a 2D implementation of spatiotemporal density-based clustering of applications with noise (ST-DBSCAN) algorithm. For more details, please see the following papers: * Ester, M., H. P. Kriegel, J. Sander, and X. Xu, "A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise". In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, Portland, OR, AAAI Press, pp. 226-231. 1996 * Birant, Derya, and Alp Kut. "ST-DBSCAN: An algorithm for clustering spatial–temporal data." Data & Knowledge Engineering 60.1 (2007): 208-221. * Peca, I., Fuchs, G., Vrotsou, K., Andrienko, N. V., & Andrienko, G. L. (2012). Scalable Cluster Analysis of Spatial Events. In EuroVA@ EuroVis.
qgis_stdbscanclustering(
INPUT = qgisprocess:::qgis_default_value(),
DATETIME_FIELD = qgisprocess:::qgis_default_value(),
MIN_SIZE = qgisprocess:::qgis_default_value(),
EPS = qgisprocess:::qgis_default_value(),
EPS2 = qgisprocess:::qgis_default_value(),
DBSCAN = qgisprocess:::qgis_default_value(),
FIELD_NAME = qgisprocess:::qgis_default_value(),
SIZE_FIELD_NAME = qgisprocess:::qgis_default_value(),
OUTPUT = qgisprocess:::qgis_default_value(),
...,
.complete_output = .complete_output_option(),
.quiet = .quiet_option(),
.messages = .message_option()
)
INPUT |
|
DATETIME_FIELD |
|
MIN_SIZE |
|
EPS |
|
EPS2 |
|
DBSCAN |
|
FIELD_NAME |
|
SIZE_FIELD_NAME |
|
OUTPUT |
|
... |
further parameters passed to |
.complete_output |
logical specifying if complete out of |
.quiet |
logical specifying if parameter |
.messages |
logical specifying if messages from |
NUM_CLUSTERS - outputNumber - Number of clusters
OUTPUT - outputVector - Clusters
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