2020
DOI: 10.5311/josis.2020.20.662
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What spatial environments mean

Abstract: Language is one of the most prominent means of representing human thought. Spatial cognition research has made use of this fact for decades, exploring how humans perceive and understand their spatial environments through language analysis. So far, this research has mainly focused on generic cognitive aspects underlying everyday purposes such as knowing where objects are, how they relate to each other, and how to find one's way to a familiar or unfamiliar location. However, human concepts about space can be thr… Show more

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Cited by 6 publications
(6 citation statements)
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“…The first three items on the list, however, are more promising from a linguistic point of view. There is abundant literature on spatial location terminology and concepts [49], at least in English. As spatial prepositions constitute a closed set, they can be examined in their entirety [45] (provided that the language in question is sufficiently well documented), covering a vast territory in the realm of spatial language.…”
Section: Linguistic Featuresmentioning
confidence: 99%
See 1 more Smart Citation
“…The first three items on the list, however, are more promising from a linguistic point of view. There is abundant literature on spatial location terminology and concepts [49], at least in English. As spatial prepositions constitute a closed set, they can be examined in their entirety [45] (provided that the language in question is sufficiently well documented), covering a vast territory in the realm of spatial language.…”
Section: Linguistic Featuresmentioning
confidence: 99%
“…For instance, insights have been gained into how humans understand space and spatial relationships, how they manage to identify the location of objects and navigate to places, the extent to which functionality, salience, and relevance come into play, and much else -a rich array of insights on spatial cognition based on linguistic study. However, despite the fundamental recognition that humans relate to the space around them from the day they are born, linguistic research hasn't invested nearly as much effort into addressing the nature of this relationship, that is: what the space around us actually means to us as humans, and how this meaningfulness is represented in language [49].…”
Section: Introductionmentioning
confidence: 99%
“…In the spatial domain, insights gained in this way include culture-dependent ways of conceptualising object configurations [ 44 , 45 ], key features of route concepts [ 46 ], and profession-based differences in understanding spaces [ 47 ]. However, the linguistic expression of place attachment requires further scrutiny [ 48 ].…”
Section: Introductionmentioning
confidence: 99%
“…The computational tools we develop and apply are profoundly important, and linking these to cognition is essential [5]. New data sources such as geo-tagged social media can provide us with different ways of exploring such cognition in a bottom up way [10] and perhaps contribute to more nuanced considerations of the ways in which the environment is represented [14]. Analytical approaches to deal with large volumes of data, which are increasingly generated by the crowd [2] or Internet of Things sensors, encompass geospatial artificial intelligence, machine learning [9,15] and visual analytics [1], and must communicate and consider uncertainties [7].…”
mentioning
confidence: 99%
“…Analytical approaches to deal with large volumes of data, which are increasingly generated by the crowd [2] or Internet of Things sensors, encompass geospatial artificial intelligence, machine learning [9,15] and visual analytics [1], and must communicate and consider uncertainties [7]. These have paved the way for more efficient decision support systems, for example in agriculture [13], and for solving ecological problems [5,14,3]. Analysing and influencing mobility, across a wide range of spatial and temporal scales is a crucial challenge if we are to create a sustainable, and not simply an optimised but profoundly unequal, future [16,12,11].…”
mentioning
confidence: 99%