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ISPRS International Journal of Geo-Information, Volume 10, Issue 2

February 2021 - 63 articles

Cover Story: Crowdsourcing is widely used for air pollution monitoring with low-cost sensors measuring particulate matter concentration. We introduced social innovation into the air quality assessment area, which is based on citizen-driven air pollution symptom mapping (APSM). With this method, the citizens report their health symptoms related to air quality. They use the mobile survey app incorporated into GeoWeb, presenting the collected data in real time. The main challenge of the crowdsourcing method is unstructured data. Thus, we proposed the data quality assessment (QA) framework for health-symptom-based projects. It consists of several logic-based QA mechanisms implemented into GeoWeb, which make up a QA system reducing data bias. This way, citizens are engaged in creating a spatial model of city wellbeing which is consistent and reliable. View this paper
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Articles (63)

  • Article
  • Open Access
24 Citations
6,453 Views
18 Pages

Comparative Analysis of Geolocation Information through Mobile-Devices under Different COVID-19 Mobility Restriction Patterns in Spain

  • Raquel Pérez-Arnal,
  • David Conesa,
  • Sergio Alvarez-Napagao,
  • Toyotaro Suzumura,
  • Martí Català,
  • Enrique Alvarez-Lacalle and
  • Dario Garcia-Gasulla

The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility, being the greatest facilitator for the spread of the virus, is at the epicenter of this change. In order to study mobility under COVID-19, to evaluat...

  • Article
  • Open Access
7 Citations
5,076 Views
20 Pages

Spationomy Simulation Game—Playful Learning in Spatial Economy Higher Education

  • Vít Pászto,
  • Jiří Pánek,
  • René Glas and
  • Jasper van Vught

Simulation games, as a method of playful learning, have been used for more than 70 years in various disciplines with the economy as a leading application field. Their development has been tied with advances in computer science, and nowadays, hundreds...

  • Article
  • Open Access
7 Citations
2,951 Views
16 Pages

Multiscale Spatial Polygonal Object Granularity Factor Matching Method Based on BPNN

  • Daoye Zhu,
  • Chengqi Cheng,
  • Weixin Zhai,
  • Yihang Li,
  • Shizhong Li and
  • Bo Chen

Spatial object matching is one of the fundamental technologies used for updating and merging spatial data. This study focused mainly on the matching optimization of multiscale spatial polygonal objects. We proposed a granularity factor evaluation ind...

  • Article
  • Open Access
42 Citations
7,127 Views
16 Pages

Impact of Urban Land-Cover Changes on the Spatial-Temporal Land Surface Temperature in a Tropical City of Mexico

  • Erika Betzabeth Palafox-Juárez,
  • Jorge Omar López-Martínez,
  • José Luis Hernández-Stefanoni and
  • Héctor Hernández-Nuñez

Climate change has severe consequences on ecosystem processes, as well as on people’s quality of life. It has been suggested that the loss of vegetation cover increases the land surface temperature (LST) due to modifications in biogeochemical pattern...

  • Article
  • Open Access
6 Citations
3,224 Views
19 Pages

With the gradual emergence of the separation and dislocation of urban jobs-housing space, rational planning of urban jobs-housing space has become the core issue of national land-spatial planning. To study the existing relationship between workspaces...

  • Article
  • Open Access
20 Citations
9,744 Views
20 Pages

It is acknowledged that various types of thematic maps emphasize different aspects of mapped phenomena and thus support different map users’ tasks. To provide empirical evidence, a user study with 366 participants was carried out comparing three map...

  • Article
  • Open Access
13 Citations
3,107 Views
24 Pages

Study on an Artificial Society of Urban Safety Livability Change

  • Lihu Pan,
  • Le Zhang,
  • Shipeng Qin,
  • Huimin Yan,
  • Rui Peng and
  • Fen Li

Improving the urban livability status has become the core goal of urban development, and reasonable assessment of the urban livability status and impact is crucial. By combining an objective environment with residents’ subjective cognition, an artifi...

  • Article
  • Open Access
10 Citations
3,431 Views
21 Pages

Emergency remote sensing mapping can provide support for decision making in disaster assessment or disaster relief, and therefore plays an important role in disaster response. Traditional emergency remote sensing mapping methods use decryption algori...

  • Article
  • Open Access
11 Citations
3,831 Views
22 Pages

Discovering Spatial-Temporal Indication of Crime Association (STICA)

  • Chao Jiang,
  • Lin Liu,
  • Xiaoxing Qin,
  • Suhong Zhou and
  • Kai Liu

The importance of combining spatial and temporal aspects has been increasingly recognized over recent years, yet pertinent pattern analysis methods in place-based crime research still need further development to explicitly indicate spatial-temporal l...

  • Article
  • Open Access
4 Citations
2,613 Views
16 Pages

A Multiple Subspaces-Based Model: Interpreting Urban Functional Regions with Big Geospatial Data

  • Jiawei Zhu,
  • Chao Tao,
  • Xin Lin,
  • Jian Peng,
  • Haozhe Huang,
  • Li Chen and
  • Qiongjie Wang

Analyzing the urban spatial structure of a city is a core topic within urban geographical information science that has the ability to assist urban planning, site selection, location recommendation, etc. Among previous studies, comprehending the funct...

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ISPRS Int. J. Geo-Inf. - ISSN 2220-9964