Name stringlengths 3 10 | Description stringlengths 10 61 | Value meaning stringclasses 7
values |
|---|---|---|
Shape_id | ID of the building | — |
Rect_Area | Minimum Bounding Rectangle Area | m2 |
Aspect_Rat | Building Length-to-Width Ratio | — |
Length | Building Length | m |
Width | Building Width | m |
Area_Ratio | Ratio of Contour Area to Ideal Shape Area | — |
Shape_A | Building Base Area | m2 |
Shape_L | Building Perimeter | m |
NPI | Building Compactness | — |
MinCircle | Minimum Enclosing Circle Area | m2 |
XzCity_id | Administrative City Level | — |
XzCity_Nme | Administrative Province | — |
XzCity_Nm | Administrative City | — |
XzCity_Nmx | Administrative County/District | — |
Sum_spbu | Total Building Base Area | m2 |
Num_bu | Number of Buildings | — |
Den_bu | Building Density | — |
Dis_Road | Distance to Nearest Secondary Road | m |
IfNearRoad | Is Roadside Building or not | 0: not near road；1: near road |
CityFun | Distance to Urban Functional Center | m |
QHCITY_id | Natural Climatic Subdivision | — |
pred_h_r | Building Height | m |
Floor | Building Floor | — |
Bu_Area | Building Area | m2 |
Block_id | ID of the block on which the building is located | — |
Block_area | Block Area | m2 |
Block_leng | Block Perimeter | m |
StCity_id | ID of the spatial city on which the building is located | — |
ISWATER | Contain Water Bodies or not | 0: contains no water bodies ；1:contains water bodies |
NBL1 | Number of beauty salon types poi | — |
DBL1 | Density of beauty salon types poi | Per m2 |
NBL2 | Number of transportation facility types poi | — |
DBL2 | Density of transportation facility types poi | Per m2 |
NBL3 | Number of leisure and entertainment types poi | — |
DBL3 | Density of leisure and entertainment types poi | Per m2 |
NBL4 | Number of company enterprise types poi | — |
DBL4 | Density of company enterprise types poi | Per m2 |
NBL5 | Number of inlet and outlet types poi | — |
DBL5 | Density of inlet and outlet types poi | Per m2 |
NBL6 | Number of medical treatment types poi | — |
DBL6 | Density of medical treatment types poi | Per m2 |
NBL7 | Number of real estate types poi | — |
DBL7 | Density of real estate types poi | Per m2 |
NBL8 | Number of governmental agencies types poi | — |
DBL8 | Density of governmental agencies types poi | Per m2 |
NBL9 | Number of educational training types poi | — |
DBL9 | Density of educational training types poi | Per m2 |
NBL10 | Number of cultural media types poi | — |
DBL10 | Density of cultural media types poi | Per m2 |
NBL11 | Number of cultural media types poi | — |
DBL11 | Density of cultural media types poi | Per m2 |
NBL12 | Number of car service types poi | — |
DBL12 | Density of car service types poi | Per m2 |
NBL13 | Number of life service types poi | — |
DBL13 | Density of life service types poi | Per m2 |
NBL14 | Number of restaurant types poi | — |
DBL14 | Density of restaurant types poi | Per m2 |
NBL15 | Number of administrative landmark poi | — |
DBL15 | Density of administrative landmark poi | Per m2 |
NBL16 | Number of shopping poi | — |
DBL16 | Density of shopping poi | Per m2 |
NBL17 | Number of sports poi | — |
DBL17 | Density of sports poi | Per m2 |
NBL18 | Number of hotel poi | — |
DBL18 | Density of hotel poi | Per m2 |
NBL19 | Number of finance poi | — |
DBL19 | Density of finance poi | Per m2 |
DBL | Total POI density | Per m2 |
RBL1 | Proportion of beauty salon types poi | — |
RBL2 | Proportion of transportation facility types poi | — |
RBL3 | Proportion of leisure and entertainment types poi | — |
RBL4 | Proportion of company enterprise types poi | — |
RBL5 | Proportion of inlet and outlet types poi | — |
RBL6 | Proportion of medical treatment types poi | — |
RBL7 | Proportion of real estate types poi | — |
RBL8 | Proportion of governmental agencies types poi | — |
RBL9 | Proportion of educational training types poi | — |
RBL10 | Proportion of cultural media types poi | — |
RBL11 | Proportion of cultural media types poi | — |
RBL12 | Proportion of car service types poi | — |
RBL13 | Proportion of life service types poi | — |
RBL14 | Proportion of restaurant types poi | — |
RBL15 | Proportion of administrative landmark poi | — |
RBL16 | Proportion of shopping poi | — |
RBL17 | Proportion of sports poi | — |
RBL18 | Proportion of hotel poi | — |
RBL19 | Proportion of finance poi | — |
M_Block | POI diversity index | — |
Sum_Bu | Total building area | m2 |
Plot_rat | Plot ratio | — |
Mean_H | Average Height of Buildings | m |
Mean_F | Average Floor of Buildings | — |
type_2023 | Building functions identified by AOI data | — |
predict | Predicted building function | — |
Age_IS | Number of pixel identified by GAIA data | — |
Age | Building age | — |
StrVi_100 | name of existing street view observation points in the buffer | — |
mFa_13_100 | The disorder score of Buildings with damaged facades in 2013 | N: There were no street view images at the site during that year.
M: There are no observation points in the buffer.
0-1:1 means the disorder type exist, 0 means none. There are severl street views in a point, contributing the value in 0-1. |
mFa_14_100 | The disorder score of Buildings with damaged facades in 2014 | null |
mFa_15_100 | The disorder score of Buildings with damaged facades in 2015 | null |
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