Ad-hoc combination and analysis of heterogeneous and distributed spatial data for environmental monitoring – design and prototype of a web-based solution

Figures & data

Figure 1. Requirements and data sources for the determination of the ecological water quality.

Table 1. Example processes suitable for the combination of two features depending on their spatial representation.

Point	Curve	Surface	Raster
Geographic distance	Sinuosity signature chainage (navigation)	Intersection	Point signature	Point
	Deviation (shift) sinuosity comparison	Intersection	Linear profile	Curve
		Overlap	Texture analysis	Surface
			Raster difference confusion matrix	Raster

Figure 2. Schematic workflow for the analysis and combination of spatial data.

Listing 1. Generalized process description example with constraint on a shared spatial extent.

Figure 3. Creation and application of domain (geo)processing patterns.

Figure 4. Three different geoprocessing patterns for the estimation of a river surface based on different inputs.

Figure 5. Main components of the implemented information system.

Figure 6. Screenshot of the web client application.

Figure 7. Inputs and output of the sinuosity measurement process.

Figure 8. Inputs and schematic output of the zonal statistics process.

Figure 9. Inputs and schematic output of the connectivity analysis for observations.