|
china |
5 |
|
lung cancer incidence |
4 |
|
mobile phone location data |
3 |
|
modification effects |
3 |
|
pm1 |
3 |
|
socioeconomic factors |
3 |
|
activity center |
2 |
|
affordable housing |
2 |
|
commuting spectrum |
2 |
|
economic status |
2 |
|
ethnic disparity |
2 |
|
healthy city |
2 |
|
hong kong |
2 |
|
industrial upgrading |
2 |
|
inland water |
2 |
|
jobs–housing balance |
2 |
|
land surface temperature |
2 |
|
machine learning |
2 |
|
mental well-being |
2 |
|
misclassification errors |
2 |
|
mobile phone location big data |
2 |
|
mobile phone positioning data |
2 |
|
multi-temporal scales |
2 |
|
negotiable developer obligations |
2 |
|
older adults |
2 |
|
particulate matter |
2 |
|
pm2.5 exposure |
2 |
|
pm2.5 exposure estimate |
2 |
|
point of interest |
2 |
|
public value capturing |
2 |
|
self-containment of employment |
2 |
|
spatiotemporal variation |
2 |
|
state-owned enterprises |
2 |
|
taipei |
2 |
|
ugcop |
2 |
|
urban governance |
2 |
|
urban green spaces |
2 |
|
urban redevelopment |
2 |
|
urban renewal |
2 |
|
work trips |
2 |
|
adaptation |
1 |
|
aerosol optical depth |
1 |
|
agglomeration economies |
1 |
|
agricultural topsoil |
1 |
|
air pollution |
1 |
|
air pollution in china |
1 |
|
air quality monitoring data |
1 |
|
alpine lake |
1 |
|
area of interaction |
1 |
|
beijing |
1 |
|
beijing–tianjin–hebei |
1 |
|
big data |
1 |
|
block |
1 |
|
built environment |
1 |
|
cams-ensemble |
1 |
|
carbon emissions |
1 |
|
china greater bay area |
1 |
|
chlorophyll-a |
1 |
|
climate change |
1 |
|
climatic factors |
1 |
|
co-benefits |
1 |
|
consumption propensity |
1 |
|
correction methods |
1 |
|
corridors |
1 |
|
cost–benefit analysis |
1 |
|
critical patches |
1 |
|
crude oil shipping |
1 |
|
data ethnics |
1 |
|
data quality and error |
1 |
|
dead pile |
1 |
|
deep learning |
1 |
|
defense meteorological satellite program/operational linescan system (dmsp/ols) |
1 |
|
difference-in-difference |
1 |
|
diurnal discrepancy |
1 |
|
dmsp/ols |
1 |
|
dongguan water village |
1 |
|
eastern china |
1 |
|
ecological protection planning |
1 |
|
ecological red line |
1 |
|
ecological security |
1 |
|
economic well-being |
1 |
|
ecosystem service |
1 |
|
ecosystem services |
1 |
|
electric vehicle |
1 |
|
environmental cognition |
1 |
|
environmental inequality |
1 |
|
environmental justice |
1 |
|
environmental sustainability |
1 |
|
exchange program |
1 |
|
females and males |
1 |
|
fine particulate matter |
1 |
|
firm location |
1 |
|
fixed effects regression model |
1 |
|
gdp |
1 |
|
geographically weighted regression |
1 |
|
geopolitical conflict |
1 |
|
google maps api |
1 |
|
greenness |
1 |
|
greenspace |
1 |
|
han chinese |
1 |
|
health effects |
1 |
|
hedonic pricing method (hpm) |
1 |
|
hierarchical linear model (hlm) |
1 |
|
high-speed rail |
1 |
|
housing price |
1 |
|
human behavior |
1 |
|
hydrodynamic inundation model |
1 |
|
idle occupancy |
1 |
|
image contamination |
1 |
|
impact factors |
1 |
|
individual resilience |
1 |
|
industrial movement |
1 |
|
invest models |
1 |
|
kuznets curve |
1 |
|
land development |
1 |
|
land use |
1 |
|
land use regression |
1 |
|
land value |
1 |
|
land-sharing |
1 |
|
landfill clean-up |
1 |
|
landscape character unit |
1 |
|
landscape metrics |
1 |
|
large area |
1 |
|
lcp model |
1 |
|
long-term lag effect |
1 |
|
low impact development |
1 |
|
luohu and longgang district |
1 |
|
mainland china |
1 |
|
moderating effect |
1 |
|
modis |
1 |
|
mortality |
1 |
|
multinomial logistic regression model |
1 |
|
multivariable regression analysis |
1 |
|
ndvi |
1 |
|
nested spatiotemporal statistical model |
1 |
|
net primary productivity |
1 |
|
network |
1 |
|
night light |
1 |
|
nighttime light imagery |
1 |
|
nitrogen dioxide |
1 |
|
nitrogen dioxide (no2) |
1 |
|
no2 |
1 |
|
non-han chinese |
1 |
|
open data |
1 |
|
optimal land management |
1 |
|
outdoor exposure |
1 |
|
panel data |
1 |
|
parks |
1 |
|
particulate matter pollution |
1 |
|
planning decision |
1 |
|
pm 2.5 |
1 |
|
pm1 pollution |
1 |
|
pm2.5 |
1 |
|
pollution risk |
1 |
|
pollution sources |
1 |
|
population |
1 |
|
potential carbon sequestration gains |
1 |
|
potential ecological risk |
1 |
|
principal component analysis |
1 |
|
public bicycle system |
1 |
|
public charging infrastructure |
1 |
|
public housing |
1 |
|
public transportation |
1 |
|
quality screening and control |
1 |
|
quantification system |
1 |
|
quantitative estimation |
1 |
|
randomized controlled experiment |
1 |
|
regional boundaries |
1 |
|
regional cooperation |
1 |
|
remote sensing |
1 |
|
residential housing price |
1 |
|
resilience |
1 |
|
risk management |
1 |
|
russia–ukraine conflict |
1 |
|
s5p-tropomi |
1 |
|
satellite-based modelling |
1 |
|
saturation |
1 |
|
secchi disk depth |
1 |
|
sgwr model |
1 |
|
shapley additive explanations (shap) |
1 |
|
shenzhen |
1 |
|
shenzhen, china |
1 |
|
sign effect |
1 |
|
simmap |
1 |
|
socioeconomic disparities |
1 |
|
soil erosion control |
1 |
|
soil heavy metals |
1 |
|
source·sink·heterogeneity |
1 |
|
spatial balance |
1 |
|
spatial inequality |
1 |
|
spatial information sciences |
1 |
|
spatial pattern components |
1 |
|
spatial temporal analysis |
1 |
|
spatially structured adaptive |
1 |
|
spatialtemporal data mining |
1 |
|
stigma effect |
1 |
|
stratified importance sampling |
1 |
|
street block |
1 |
|
street blocks |
1 |
|
surface water area changes |
1 |
|
t-copula |
1 |
|
the guangdong-hong kong-macao greater bay area |
1 |
|
tibetan plateau |
1 |
|
time fixed effects regression model |
1 |
|
time series clustering |
1 |
|
transportation investment |
1 |
|
two-part spatial lag of x regression |
1 |
|
two-stage model |
1 |
|
university students |
1 |
|
urban density |
1 |
|
urban flooding |
1 |
|
urban heat island |
1 |
|
urban landscape |
1 |
|
urban landscape patterns |
1 |
|
urban natural conservation |
1 |
|
urban vitality |
1 |
|
urbanization |
1 |
|
utilization rate |
1 |
|
vegetation cover |
1 |
|
viirs |
1 |
|
viirs aod |
1 |
|
viirs ip aod |
1 |
|
water classification recovery |
1 |
|
water occurrence |
1 |
|
water yield |
1 |
