Spatial risk assessment of opium poppy cultivation in Afghanistan: integrating environmental and socio-economic drivers

Climate Risk and Vulnerability Assessment of Floods in Austria: Mapping Homogenous Regions, Hotspots and Typologies

“…Thus, the CRVA undertaken as part of this study can serve as a basis to identify appropriate and relevant place-based intervention measures [12] with the aim of reducing flood risk in Austria. However, it should be noted that the risk maps present potential scenarios and not precise predictions or probabilities [11]. To make results publicly available, the design of a web-tool visualizing the risk and vulnerability maps and respective diagrams in an interactive way would be helpful and is recommended to be part of future developments.…”

“…This can be seen as a positive characteristic of the conducted CRVA: it is natural that one region does not reach the highest values for the entire set of different indicators. Furthermore, it should be kept in mind that the use of the vector magnitude makes changes in the larger indicator values impact the index more intensely than changes in smaller values [11].…”

“…The two geon datasets, hazard and socio-economic flood vulnerability (including the exposure component), were then merged (intersect) in a first step. An additional segmentation, based on the intersected regions, was conducted to merge regions of similar values in the different indicators towards new homogenous regions of similar risk (see approach developed by [11]). This stepwise integration approach preserves "strong" region borders of the hazard proxy and vulnerability regions to ease the comprehensive analysis of the resulting maps.…”

“…The results were visualized following best practice [29] with an unclassed colour gradient with a continuous colour scheme of orange for socio-economic vulnerability (Figure 3) and violet for risk (Figure 4). For transparency reasons, the roughly associated histogram of the index values is presented along with the legend on the maps [11]. Furthermore, the contributing factors (inter alia indicator values) per geon are shown as bar charts for the three selected regions (see Figure 3).…”

“…To be able to conduct the research independent of the constraints of administrative units, we applied the geons approach [5]. The geons concept of creating "homogenous regions of risk/vulnerability" significantly surpasses other methods, such as the concept of spatial composite indicators or multi-criteria assessment approaches [6][7][8][9][10][11]. Visualising such homogenous regions encourages decision-makers to reflect on complex issues such as vulnerability and, ultimately, risk.…”