### Table 4 - Air Diffusion Performance Index

2002

"... In PAGE 16: ... Select the throw/length (T/L) ratio. T/L ratios can be found in Table4 . The Air Diffusion Performance Index (ADPI) is the percentage of spaces within a room that have the desired effective draft temperature and velocity required to keep the occupants comfortable.... In PAGE 16: ... The goal is to maximize the ADPI. Table4 also provides the range of T/L that will maintain the APDI above 0.8.... ..."

### Table 1: Spatial Database topics

2007

"... In PAGE 4: ... Spatial databases are discussed in the context of object-relational databases [42, 141, 143], which provide extensibility to many components of traditional databases to support the spatial domain. Three major areas that receive attention in the database context - conceptual, logical and physical data models - are discussed(see Table1 ). In addition, applications of spatial data for spatial data mining are also explored.... ..."

### Table 1: Classification of Various Spatial Join Algorithms

1996

"... In PAGE 6: ... Such systems can eas- ily use these index based join algorithms. This study, is not a meant to be a comprehensive performance study of all possi- ble spatial join algorithms (refer to Table1 for a classification of spatial join algorithms). However, the algorithms that we study are alternatives that can be used in a spatial database system that does not transform approximations of spatial ob- jects into another domain (e.... ..."

Cited by 159

### Table 1: Classification of Various Spatial Join Algorithms

1996

"... In PAGE 9: ... Such systems can easily use these index based join al- gorithms. This study, is not a meant to be a comprehensive performance study of all possible spatial join algo- rithms (refer to Table1 for a classification of spatial join algorithms). However, the algorithms that we study are alternatives that can be used in a spatial database system that does not transform approximations of spatial objects into another domain (e.... ..."

Cited by 159

### Table 1: Classification of Various Spatial Join Algorithms

"... In PAGE 6: ... Such systems can eas- ily use these index based join algorithms. This study, is not a meant to be a comprehensive performance study of all possi- ble spatial join algorithms (refer to Table1 for a classification of spatial join algorithms). However, the algorithms that we study are alternatives that can be used in a spatial database system that does not transform approximations of spatial ob- jects into another domain (e.... ..."

### Table 1: Classification of spatial index structures.

"... In PAGE 14: ...64 0.89 Table1 : False area of the BB The accuracy of the filtering step is maximized by minimizing the deviation of the approximation from the original object. We measure this deviation by the false area of the approximation normalized to the area of the original object.... In PAGE 14: ... We measure this deviation by the false area of the approximation normalized to the area of the original object. Table1 shows impressively that real cartography objects are only roughly approximated by BBs. In this table, fa is the average false area; min and max denote the minimum and the maximum false area in the map, respectively.... In PAGE 19: ... Certain mea- sures are supported to maintain that each data object is totally included in a subspace. Table1 groups various index structures according to the techniques used to handle non-zero sized spatial objects. Each of the above approaches has its own strengths and weaknesses, which directly affect the performance of indexes using it.... ..."

### Table 1: Classification of spatial index structures.

"... In PAGE 14: ...64 0.89 Table1 : False area of the BB The accuracy of the ltering step is maximized by minimizing the deviation of the approximation from the original object. We measure this deviation by the false area of the approximation normalized to the area of the original object.... In PAGE 14: ... We measure this deviation by the false area of the approximation normalized to the area of the original object. Table1 shows impressively that real cartography objects are only roughly approximated by BBs. In this table, fa is the average false area; min and max denote the minimum and the maximum false area in the map, respectively.... In PAGE 19: ... Certain measures are supported to maintain that each data object is totally included in a subspace. Table1 groups various index structures according to the techniques used to handle non-zero sized spatial objects. Each of the above approaches has its own strengths and weaknesses, which directly a ect the performance of indexes using it.... ..."

### Table 1: Classification of spatial index structures.

"... In PAGE 14: ...64 0.89 Table1 : False area of the BB The accuracy of the filtering step is maximized by minimizing the deviation of the approximation from the original object. We measure this deviation by the false area of the approximation normalized to the area of the original object.... In PAGE 14: ... We measure this deviation by the false area of the approximation normalized to the area of the original object. Table1 shows impressively that real cartography objects are only roughly approximated by BBs. In this table, fa is the average false area; min and max denote the minimum and the maximum false area in the map, respectively.... In PAGE 19: ... Certain measures are supported to maintain that each data object is totally included in a subspace. Table1 groups various index structures according to the techniques used to handle non-zero sized spatial objects. Each of the above approaches has its own strengths and weaknesses, which directly affect the performance of indexes using it.... ..."

### Table 1: Classification of spatial index structures.

"... In PAGE 14: ...64 0.89 Table1 : False area of the BB The accuracy of the ltering step is maximized by minimizing the deviation of the approximation from the original object. We measure this deviation by the false area of the approximation normalized to the area of the original object.... In PAGE 14: ... We measure this deviation by the false area of the approximation normalized to the area of the original object. Table1 shows impressively that real cartography objects are only roughly approximated by BBs. In this table, fa is the average false area; min and max denote the minimum and the maximum false area in the map, respectively.... In PAGE 19: ... Certain measures are supported to maintain that each data object is totally included in a subspace. Table1 groups various index structures according to the techniques used to handle non-zero sized spatial objects. Each of the above approaches has its own strengths and weaknesses, which directly a ect the performance of indexes using it.... ..."

### Table 1: Classification of spatial index structures.

"... In PAGE 14: ...64 0.89 Table1 : False area of the BB The accuracy of the ltering step is maximized by minimizing the deviation of the approximation from the original object. We measure this deviation by the false area of the approximation normalized to the area of the original object.... In PAGE 14: ... We measure this deviation by the false area of the approximation normalized to the area of the original object. Table1 shows impressively that real cartography objects are only roughly approximated by BBs. In this table, fa is the average false area; min and max denote the minimum and the maximum false area in the map, respectively.... In PAGE 19: ... Certain measures are supported to maintain that each data object is totally included in a subspace. Table1 groups various index structures according to the techniques used to handle non-zero sized spatial objects. Each of the above approaches has its own strengths and weaknesses, which directly a ect the performance of indexes using it.... ..."