## 4 Discussion and Conclusions
### Conclusions
Acad. Sci. USA_**2010**, _107_, 17521-17526. [CrossRef]  
[PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Using Earth Observation for Monitoring SDG 11.3.1-Ratio of Land Consumption Rate to Population Growth Rate in Mainland China. _Remote Sens._**2020**, _12_, 357. [CrossRef]  
[PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Implications for Tracking SDG Indicator Metrics with Gridded Population Data. _Sustainability_**2021**, _13_, 7329. [CrossRef]  
[PERSON] Human dimensions of global change: Linking the global and the local processes. _Int. Soc. Sci. J._**1991**, _43_, 707. [PERSON]; [PERSON]; [PERSON]; [PERSON] Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest Regression and Multisource Data. _ISPRS Int. J. Geo-Inf._**2020**, \(9\), 369. [CrossRef]  
[PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Disaggregating County-Level Census Data for Population Mapping Using Residential Geo-Objects With Multisource Geo-Spatial Data. _IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens._**2020**, _13_, 1189-1205. [CrossRef]  
[PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data. _Int. J. Geogr. Inf. Sci._**2017**, _31_, 1220-1244. [CrossRef]  
[PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Dynamic population mapping using mobile phone data. _Proc. Natl. Acad. Sci. USA_**2014**, _111_, 15888-15893. [CrossRef]  
[PERSON]; [PERSON]; [PERSON] [PERSON] A Framework for the Areal Interpolation of Socioeconomic Data. _Environ. Plan. A_**1993**, _25_, 383-397. [CrossRef]  
[PERSON]; [PERSON]; [PERSON]; [PERSON] World population in a grid of spherical quadrilaterals. _Int. J. Popul. Geogr._**1997**, \(3\), 203-225. [CrossRef]  
[PERSON]; [PERSON] Evaluating geo-located Twitter data as a control layer for areal interpolation of population. _Appl. Geogr._**2015**, _58_, 41-47. [CrossRef]  
[PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Estimation of environmental exposure: Interpolation, kernel density estimation or snapshotting. _Ann. GIS_**2019**, _25_, 1-8. [CrossRef]  
[PERSON]; [PERSON] Areal Interpolation and Dasymetric Modeling. _Geogr. Anal._**2013**, _45_, 213-215. [CrossRef]* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Improved population mapping for China using remotely sensed and points-of-interest data within a random forests model. _Sci. Total Environ._**2018**, _658_, 936-946. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] Mapping Fine-Scale Urban Spatial Population Distribution Based on High-Resolution Stereo Pair Images, Points of Interest, and Land Cover Data. _Remote Sens._**2020**, _12_, 608. [CrossRef]
* [PERSON] (2004) [PERSON]; [PERSON] _The Global Distribution of Population: Evaluating the Gains in Resolution Refinement_; Columbia University: New York, NY, USA, 2004. * [PERSON] et al. (2000) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A Global Population Database for Estimating Population at Risk. _Photogramm. Eng. Remote Sens._**2000**, _66_, 849-858. * [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Development of new open and free multi-temporal global population grids at 250 m resolution. In Proceedings of the Agile, Helsinki, Finland, 14-16 June 2016. * [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON]; [PERSON] Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data. _PLoS ONE_**2015**, _10_, e0107042. [CrossRef]
* [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] Urban Population Distribution Mapping with Multisource Geospatial Data Based on Zonal Strategy. _ISPRS Int. J. Geo-Inf._**2020**, \(9\), 654. [CrossRef]
* [PERSON] et al.