TY  - JOUR
AU  - Pezzuto, Claudia Cotrim 
AU  - Labaki, Lucila Chebel 
AU  - Mota, Lia Toledo Moreira 
AU  - Mota, Alexandre Alexandre Assis 
PY  - 2011
TI  - A Linear Model for Moving Measurements Estimation in Urban Climate Studies
JF  - American Journal of Applied Sciences
VL  - 8
IS  - 7
DO  - 10.3844/ajassp.2011.685.690
UR  - https://thescipub.com/abstract/ajassp.2011.685.690
AB  - Problem statement: Several methods can be adopted to study the variations in urban
climate. The mobile measurement method is one of them, involving information provided by moving
measurements of air temperature, that are taken in points defined along pre-established routes and also
data from fixed-point temperature recording stations. Because moving measurements are made in
different times along the measurement process, adjustments must be made in order to adequately
analyze the air temperature measurements. Approach: Mobile measurements were taken in an urban
area and contextualized in the domain of some fixed-point temperature recording stations. Therefore, a
linear model proposed to investigate and represent the variables that influence moving measurements
estimation in the urban context. Results: All proposed variables in the linear model were considered
relevant, because all coefficients of the determined model were non null. Also, the identified model
presents a good fit to the field data, as indicated by the resulting coefficient of determination (R2) that
is 90.3%. Conclusion/Recommendations: The linear model described in this work is easy to apply,
requiring few input variables. It is important to emphasize that the model was developed to estimate
moving measurements as a function of fixed measurements and presents the potential to identify new
input variables based on moving measurements, as shown by the fit among fixed and moving
temperature measurements, in order to provide insight about other possible models of late time
adjustment.