Conceptualizing a Spatial Data Infrastructure for the Social Sciences: An Example from Germany

Figures & data

Figure 1 Different types of environmental noise data: line vectors, line vectors displaying open and dangling lines, polygon vectors, and raster data.

Table 1 Structure of CSV file required for conversion of addresses

Respondent ID	Street	House Number	Postal Code	Town
1	Pattern Street	1	12345	Pattern City

Figure 2 Fictional respondents’ coordinates mapped to environmental noise data of road traffic.

Table 2 Structure of merged data

Spatial survey data				Spatial base data			Contextual spatial data
Respondent ID	Coordinate	V1–Vn	Time	Area ID	Polygon	Time	Unemployment rate	Noise pollution (dB)	Time
1	(X, Y)		2012	1	Shape 1	2012	6.4	50–54	2012
2			2012	2	Shape 2	2012	9.3	55–59	2012
3			2012	1	Shape 1	2012	6.4	50–54	2012
4			2012	4	Shape 4	2012	14.0	60–64	2012
1	(X, Y)		2014	1	Shape 1	2014	6.2	50–54	2014
2			2014	2	Shape 2	2014	9.4	55–59	2014
3			2014	1	Shape 1	2014	6.2	50–54	2014
4			2014	4	Shape 4	2014	13.8	60–64	2014

Figure 3 Overview of the process of merging spatial data and survey data.