Weipeng Lu
Biographic Data
| ID | 8170206 |
|---|---|
| NAME | Weipeng Lu |
| GIVEN NAMES | Weipeng |
| FAMILY NAME | Lu |
| SIGNATURE | LU W |
| AFFILIATIONS | Hong Kong Polytechnic University |
| ORCID | 0000-0002-1026-1007 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
From data inconsistency to reliable SDG 11.3.1 monitoring
This study assesses the reliability of land use efficiency (LUE) as a primary Sustainable Development Goal (SDG) indicator 11.3.1, the land consumption rate to population growth rate, using six built-up area datasets and four population datasets for 176 countries during 2000∼2020. Specifically, this study aims to answer (1) How consistent are global LUE estimates across different built-up and population datasets? and (2) Which data sources and me…
An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity
A comprehensive understanding of population distribution is critical for assessing socio-economic issues. However, the widely used dasymetric mapping method relies on models built at a coarse administrative scale and estimates population at a fine-gridded scale. This difference in scale between the training and estimating domains results in significant heterogeneity in data distribution. To address this issue, we proposed a scale heterogeneity-av…
No prominent works on this page.
An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity
A comprehensive understanding of population distribution is critical for assessing socio-economic issues. However, the widely used dasymetric mapping method relies on models built at a coarse administrative scale and estimates population at a fine-gridded scale. This difference in scale between the training and estimating domains results in significant heterogeneity in data distribution. To address this issue, we proposed a scale heterogeneity-av…
From data inconsistency to reliable SDG 11.3.1 monitoring
This study assesses the reliability of land use efficiency (LUE) as a primary Sustainable Development Goal (SDG) indicator 11.3.1, the land consumption rate to population growth rate, using six built-up area datasets and four population datasets for 176 countries during 2000∼2020. Specifically, this study aims to answer (1) How consistent are global LUE estimates across different built-up and population datasets? and (2) Which data sources and me…
Land use (2 works) · Population (2 works) · Ancillary data (1 works) · Cartography (1 works) · Computer Science (1 works) · Demography (1 works) · Engineering (1 works) · Geography (1 works) · Human Mobility and Location-Based Analysis (1 works) · Impact of Light on Environment and Health (1 works)