Flowmap: A Support Tool for Strategic Network Analysis

Geertman, Stan; Jong, Tom de; Wessels, Coen

doi:10.1007/978-3-540-24795-1_9

Cited by 6 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reason for our focus is, apart from limitations of space, that the concepts listed dominate standard GIS applications. Spatial network and event (including the temporal dimension) not only require special functionality, but also arguably evolved later in the evolution of GIS (Geertman, de Jong, & Wessels, 2003; Siabato, Claramunt, Ilarri, & Manso‐Callejo, 2018), and are thus considered future work.…”

Section: Geo‐analytical Concepts and Gis Type Systemmentioning

confidence: 99%

Loose programming of GIS workflows with geo‐analytical concepts

Kruiger

Kasalica

Meerlo

et al. 2020

Transactions in GIS

View full text Add to dashboard Cite

Loose programming enables analysts to program with concepts instead of procedural code. Data transformations are left underspecified, leaving out procedural details and exploiting knowledge about the applicability of functions to data types. To synthesize workflows of high quality for a geo‐analytical task, the semantic type system needs to reflect knowledge of geographic information systems (GIS) at a level that is deep enough to capture geo‐analytical concepts and intentions, yet shallow enough to generalize over GIS implementations. Recently, core concepts of spatial information and related geo‐analytical concepts were proposed as a way to add the required abstraction level to current geodata models. The core concept data types (CCD) ontology is a semantic type system that can be used to constrain GIS functions for workflow synthesis. However, to date, it is unknown what gain in precision and workflow quality can be expected. In this article we synthesize workflows by annotating GIS tools with these types, specifying a range of common analytical tasks taken from an urban livability scenario. We measure the quality of automatically synthesized workflows against a benchmark generated from common data types. Results show that CCD concepts significantly improve the precision of workflow synthesis.

show abstract

Section: Geo‐analytical Concepts and Gis Type Systemmentioning

confidence: 99%

Loose programming of GIS workflows with geo‐analytical concepts

Kruiger

Kasalica

Meerlo

et al. 2020

Transactions in GIS

View full text Add to dashboard Cite

show abstract

“…Some researchers in the geographical domain initiated the joint use of information visualization and cartographic representation (contour lines, relief shading, or orthoimages) by superimposing vector graphics [3], color-coded notation [4,5], combination of the two former [6,7] or animated colored graphs [8,9] as spatio-temporal information layers supporting enhanced information visualization. Similar to those, many innovative visualization techniques are applied in the context of flow analysis [10,11]. The work of [12] for instance analyses the potential benefits of animation on both static maps and the space-time cube, whereas the study of [13] visualizes spatio-temporal information dynamically as 3D animation superimposed on a cartographic background.…”

Section: State-of-the-artmentioning

confidence: 99%

Anchoring Unsorted E-Sources About Heritage Artefacts in Space and Time

Saygi

Blaise

Dudek

2018

Digital Cultural Heritage

View full text Add to dashboard Cite

Thanks to citizen-side contributions, heritage scientists can now quite often gather large amount of spatio-temporal data about heritage artefacts. In the context of minor heritage collections, which often slip through large-scale heritage programs, accessing such data sets may be a decisive turn in uncovering important clues, or significant relationships in and across collections. In other words, the "citizen science" paradigm seemingly opens a whole new range of opportunities at research level (e.g., enrichment of data, comparative analyses, multidisciplinary annotations) and for collection holders (e.g., networking, "intangible" museums). Yet, due to the nature of such data sets (e.g., heterogeneity in the wording, in the precision, verifiability issues, contradictions), these opportunities also raise challenges, in particular when wanting to foster cross examinations by heritage scientists. The global objective of our research is to better weigh how the nature of citizen-side contributions can impact the way information can be recorded, formalized, and visualized. In this paper a clear focus is put on the space and time parameters: geo-visualization, and spatio-temporal data visualization. The paper introduces a series of open-source geo-visualization solutions that have been designed for use in the context of information sets harvested from citizenside e-sources, and that help document minor heritage assets. The results we present show that hybrid visualizations can act as a basis for comparative reasoning and analysis, but also that the core service we should manage to offer is definitely an infovis one: getting to understand (at last) what we really know (and ignore).

show abstract

“…Computational models of spatial networks for geographic information systems (GIS) have been known for a long time (Sutton, 1998 ). They are frequently used in applications such as spatial planning (Geertman, de Jong, & Wessels, 2003 ), transport analysis (Thill, 2000 ), supply infrastructures, and the analysis of flows (Curry, 1972 , cf. Miller & Shaw, 2001 , for an overview).…”

Section: Introductionmentioning

confidence: 99%

A conceptual model for automating spatial network analysis

Scheider

Jong

2021

Transactions in GIS

View full text Add to dashboard Cite

Spatial network analysis is a collection of methods for measuring accessibility potentials as well as for analyzing flows over transport networks. Though it has been part of the practice of geographic information systems for a long time, designing network analytical workflows still requires a considerable amount of expertise. In principle, artificial intelligence methods for workflow synthesis could be used to automate this task. This would improve the (re)usability of analytic resources. However, though underlying graph algorithms are well understood, we still lack a conceptual model that captures the required methodological know-how. The reason is that in practice this know-how goes beyond graph theory to a significant extent. In this article we suggest interpreting spatial networks in terms of quantified relations between spatial objects, where both the objects themselves and their relations can be quantified in an extensive or an intensive manner. Using this model, it becomes possible to effectively organize data sources and network functions towards common analytical goals for answering questions.We tested our model on 12 analytical tasks, and evaluated automatically synthesized workflows with network experts.Results show that standard data models are insufficient for answering questions, and that our model adds information crucial for understanding spatial network functionality.

show abstract

Flowmap: A Support Tool for Strategic Network Analysis

Cited by 6 publications

References 6 publications

Loose programming of GIS workflows with geo‐analytical concepts

Loose programming of GIS workflows with geo‐analytical concepts

Anchoring Unsorted E-Sources About Heritage Artefacts in Space and Time

A conceptual model for automating spatial network analysis

Contact Info

Product

Resources

About