Crowdsourcing Geospatial Data for Earth and Human Observations: A Review

X Huang, S Wang, D Yang, T Hu, M Chen… - Journal of Remote …, 2024 - spj.science.org
The transformation from authoritative to user-generated data landscapes has garnered
considerable attention, notably with the proliferation of crowdsourced geospatial data …

Extracting the pickpocketing information implied in the built environment by treating it as the anomalies

Y Yao, A Dong, Z Liu, Y Jiang, Z Guo, J Cheng, Q Guan… - Cities, 2023 - Elsevier
The practice of crime risk map**, enabled by the utilization of geospatial big data such as
street view images, has received significant research attention. However, in situations where …

Spatial and temporal patterns in volunteer data contribution activities: A case study of eBird

G Zhang - ISPRS International Journal of Geo-Information, 2020 - mdpi.com
Volunteered geographic information (VGI) has great potential to reveal spatial and temporal
dynamics of geographic phenomena. However, a variety of potential biases in VGI are …

Map** China's regional economic activity by integrating points-of-interest and remote sensing data with random forest

Q Chen, T Ye, N Zhao, M Ding… - … and Planning B …, 2021 - journals.sagepub.com
Nighttime light imageries are widely used for map** the gross domestic product (GDP)
over large areas. However, nighttime light imagery is inappropriate to disaggregate …

The effects of sample size and sample prevalence on cellular automata simulation of urban growth

B Zhang, C **a - International Journal of Geographical Information …, 2022 - Taylor & Francis
This study investigates the effects of sample size and sample prevalence on cellular
automata (CA) simulation of urban growth. We take the CA models based on an artificial …

[HTML][HTML] Detecting and visualizing observation hot-spots in massive volunteer-contributed geographic data across spatial scales using GPU-accelerated kernel density …

G Zhang - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
Volunteer-contributed geographic data (VGI) is an important source of geospatial big data
that support research and applications. A major concern on VGI data quality is that the …

Evaluating the usefulness of VGI from Waze for the reporting of flash floods

C Lowrie, A Kruczkiewicz, SN McClain, M Nielsen… - Scientific reports, 2022 - nature.com
Using volunteered geographic information (VGI) to supplement disaster risk management
systems, including forecasting, risk assessment, and disaster recovery, is increasingly …

Simulation of urban expansion using geographical similarity transition rules and neighbourhood sizes

Y Li, Y An, Z Zhou, H Ren, X Tan - Journal of Geographical Sciences, 2024 - Springer
Most existing cellular automata (CA) models impose strict requirements on the number and
spatial distribution of samples. This makes it a challenge to capture spatial heterogeneity in …

Simultaneous extraction of spatial and attributional building information across large-scale urban landscapes from high-resolution satellite imagery

Z Qian, M Chen, Z Sun, F Zhang, Q Xu, J Guo… - Sustainable Cities and …, 2024 - Elsevier
Understanding urban dynamics requires comprehensive building analysis, yet current
methods focusing on specific aspects hinder the production of unified and large-scale …

Urban high‐quality navigation path planning that integrates human emotion perception learning

S Liu, Y Long, L Zhang, Y Huang - Transactions in GIS, 2023 - Wiley Online Library
Geographic information system navigation services are now incorporating psychological
well‐being as a factor when devising navigation routes. However, challenges such as …