Publications
23.03.2020
Authors
Stefan Dietze
Katarina Boland
Xiaofei Zhu
Published By
Elsevier Neurocomputing 2020
2020
Multi-View Image Clustering Based on Sparse Coding and Manifold Consensus
Efficient methods for obtaining, interpreting and analysing data are of crucial importance to EAST-Cities, particularly in order to integrate and link data with the Joint Data Model (JDM). Initial methods for mining of structured dataset metadata from scholarly publications as well as Web crawls have been developed. We also initiated permanent crawlers of Chinese social media (Weibo/We-Chat), and developed methods for dataset profiling, entity linking and aspect-based sentiment analysis, as required for interpreting unstructured textual data: Novel approaches for clustering of research data were investigated, for instance, in order to facilitate segmentation and classification of satellite images. These methods have been expanded upon in a paper which has been accepted for publication by Elsevier Neurocomputing 2020.
20.03.2020
Authors
Vanessa Carlow
Olaf Mumm
Ryan Zeringue
To be submitted to
International Journal of Urban and Regional Research 2020
2020
Urban System Qingdao – A literature review
To be submitted | For the initial phase of the EAST-CITIES project a literature review as conducted on urbanisation processes, spatial characteristics and impacts to prepare an initial description of the Qingdao urban system. Qingdao is a rapidly growing city and current plans undertaken by the Qingdao Urban Planning and Design Institute will continue to address the urban system, notably the movement of the airport to the western side of the bay as well as the redevelopment of formerly industrial centers along the eastern bay. This paper will be submitted to the International Journal of Urban and Regional Research 2020.
15.03.2020
Authors
Vanessa Carlow
Olaf Mumm
Grace Abou Jaoude
To be submitted to
Futures 2020
2020
Scenario – A Review of Types and Methods
SP Scenario conducted an in-depth literature review of various scholarly scenario methods and statistical modelling techniques used in the field of future studies. A methodological framework was developed combining qualitative and quantitative approaches. While a qualitative approach serves to communicate and co-design scenarios with involved EAST-Cities: Establishing and Achieving Sustainability Targets in Eastern Chinese Cities 15 stakeholders and the public, numerical data and quantitative models verify the consistency and coherence of assumptions and qualitative methods. A scenario agenda has been defined by setting the objectives as well as the scope of the scenario approach – chronological time horizon, relevant issues and themes, as well as geographical extent and scale. Potential additional stakeholders were identified and key drivers of future development were defined together with our regional partners.
01.03.2020
Authors
EAST-Cities Team
Project Output
EAST-CITIES Dataset Inventory
The data-driven approach of EAST-Cities is facilitated through a range of research datasets, currently 53, summarised at east-cities.github.io/data-inventory. This initial data collection includes a range of different data types such as: geospatial data, statistical data, e.g. on passenger flows, climate and air quality in the Qingdao region over time; text corpora e.g. scientific publications for automatically mining relevant dataset references; spatial databases, e.g. data on buildings, districts,
vegetation or infrastructure networks; and survey data, e.g. investigating business environment indicators for private sector growth. To facilitate data integration, sharing and interpretation of EAST-CITIES data, a joint data model is being developed to represent concepts and entities of interest, such as points of interest (PoIs), routes, structures, and buildings
20.02.2020
Authors
EAST-Cities Team
Vanessa Carlow
Stefan Dietze
Olaf Mumm
Katarina Boland
Ryan Zeringue
Majd Murad
To be submitted to
Shaping Urban Change, Liveable City Regions for the 21st Century. 25th International Conference on Urban Planning and Regional Development
2020
EAST-CITIES: Data Gathering, Analysis, and Integration
This paper presents methodological approaches utilized by the EAST-CITIES team to generate data which may not be publicly available, alternative data, and methods of data aggregation such as (1) spectral analysis, (2) image classification, and (3) edge detection, which were applied and successfully tested in the EAST-CITIES project. The paper will be presented at the proceedings of Shaping Urban Change, Liveable City Regions for the 21st Century. 25th International Conference on Urban Planning and Regional Development in the Information Society 2020, Aachen.
02.09.2019
Authors
EAST-Cities Team
Output
2019
Preliminary data collection and mapping successful
SP Data, in collaboration with SP TOPOI, generated initial tests on data collection and visualization techniques. Wikidata was exploited to enrich regional entities, e.g. transportation routes or PoIs with additional structured data, where an initial visualization can be found online. This initial test can be accessed via: http://wiese.free.fr/EC_wikidata.html. In order to facilitate retrieval and interpretation of obtained data, moving forward in the project, systems for creating a unified database between the different SP’s will be created.