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  • 标题:Import/export of GIS data in oracle spatial.
  • 作者:Boicea, Alexandru ; Bentu, Alexandru Stefan ; Radulescu, Florin
  • 期刊名称:Annals of DAAAM & Proceedings
  • 印刷版ISSN:1726-9679
  • 出版年度:2010
  • 期号:January
  • 语种:English
  • 出版社:DAAAM International Vienna
  • 摘要:This paper address several theoretical and practical aspects of software development aimed at the import and the export of GIS databases in Oracle Spatial. To form the Oracle Spatial database we will use GIS raster files (ESRI, BIL) or GIS vector files (GML, Shapefile). The application connects to the database or GIS files to extract or enter geograic data and for these it uses different algorithms for import and export of geographic data and heuristic algorithms for the conversion between raster and vector data. The user is able to choose exactly how the data will be converted.
  • 关键词:Data processing;Electronic data processing;Geographic information systems

Import/export of GIS data in oracle spatial.


Boicea, Alexandru ; Bentu, Alexandru Stefan ; Radulescu, Florin 等


1. INTRODUCTION

This paper address several theoretical and practical aspects of software development aimed at the import and the export of GIS databases in Oracle Spatial. To form the Oracle Spatial database we will use GIS raster files (ESRI, BIL) or GIS vector files (GML, Shapefile). The application connects to the database or GIS files to extract or enter geograic data and for these it uses different algorithms for import and export of geographic data and heuristic algorithms for the conversion between raster and vector data. The user is able to choose exactly how the data will be converted.

Nowadays, on the market there are few applications that assure only the import or export of GIS data into Oracle Spatial database like: SQL Loader, GRASS, Spatial Console or PalentGIS. None of these applications can assure conversion between different data types (raster and vector).

The application can be improved by using multiple GIS files, creating software modules for viewing maps and for editing spatial data. In addition to that, the conversion alghoritms can be optimized in order to make the operations faster.

2. TECHNOLOGIES

Raster files are generally used to store image information, data captured by satellites or other airborne imaging systems. A raster format is reprezented by any type of digital image stored in grids. The raster data is divided into cells, pixels or elements. Cells are organized in arrays and each one has a single value that represents a geographic attribute for the area. The row and column numbers are used to identify the location of each cell within the array (George, 2001). The raster GIS files used for the application are: BIL (binary format) and ESRI (ASCII format)

Vector files are represented by vectorial elements: points, lines, polygons, arcs, string lines etc. Each GIS file type has its own way to represent the vectorial information, in one or more files. The vector GIS files used for the application are: ShapeFile (binary format) and GML (ASCII format).

Oracle Spatial provides an SQL schema and functions that facilitate the storage, retrieval, update and query of spatial data. Oracle Spatial supports the object-relational model for representing geometries. The object that can store geometric data is: MDSYS.SDO_GEOMETRY (Albert, 2007).

3. APPLICATION

This application makes the import and export from an Oracle Spatial database to GIS data files. The application also makes the raster/vector conversion for different GIS file types. To store data in Oracle Spatial, we need two tables: in one we store the metadata (MapInfo) for all the maps and in the others the actual map (Chuck, 2003).

Raster Import:

1. The header from the raster file is read and analyzed

2. Metadata is inserted in MapInfo about the new map

3. Is created a new table where the map will be stored (table_name)

4. Every cell are read from the raster cell and converted in SDO_GEOMETRY objects

5. Data is inserted in the database

Raster Export:

1. The GIS file is created and the header is filled with metadata

2. Data is read from the table and is converted from

SDO_GEOMETRY objects into a single value (altitude)

3. Data is inserted in the file at the specific position in the matrix

Vector Import:

1. The map is analyzed and metadata is inserted in MapInfo

2. Is created a new table where the map will be stored

3. Every vector is read from the GIS file and is converted in

SDO_GEOMETRY objects

4. Data is inserted in the database

Vector Export:

1. The GIS file is created

2. Data is read from the table and is converted from SDO_GEOMETRY objects into a vector format specific to the vector GIS file type

3. Data is inserted in the database.

Vector-Raster Conversion:

1. The vector GIS file or map stored the database is analyzed

2. Metadata is inserted in MapInfo about the new map

3. Is created a new table where the map will be stored

4. Repeat for every cell in the matrix map

4.1. Select the vector data that intersects with the cell

4.2. Calculate the altitude value for the cell: weighted average of the surfaces occupied by the vector data in the cell

4.3. Convert data into a SDO GEOMETRY object

4.4. Data is inserted in the database

Vector-Raster Conversion:

1. The map is analyzed and metadata is inserted in MapInfo

2. The following algorithm is applied:

main ()

1. initialize A, U //U[x][y]={{0}}

2. repeat until sum(U[x][y]==n*m)

2.1. initialize P,N //P={}, N={}

2.2. select first x, y where U[x][y]=0

2.3. U[x][y]=1; P=P union {(x,y)};T=(x,y)

2.4. repeat

2.4.1. find all neighbors to T like (nx,ny) where

A[nx][ny]=A[x][y] and U[nx][ny]=0

2.4.2. insert neighbors into N

2.4.3. s=0; P=P union {(nx,ny)} for all (nx,ny)

2.4.4. if N is not empty

2.4.4.1. remove first (nx,ny) from N

2.4.4.2. s = 1;T = (nx,ny)

2.5. until s=0

2.6. F=create_poligon(P)

2.7. convert F to SDO_GEOMETRY

2.8. insert F into database

create_poligon(P)

1. initialize E,V //E={},V= {}

2. for each cell in P

2.1. calculate the edges and vertices of the cell P[x][y]

2.2. insert in Eand V the edges and vertices that are unique

3. initialize EU //EU={}

4. for every point (x,y) in V

4.1. calculate nv,nei,nes for (x,y) from V

4.2. create ES,EI and initialize them //view Table x.x

4.3. if (nei==2) then

insert into EU at the end, edges where EI[x]!=null, 0<x<5

4.4. if (nei==3) then

4.4.1. if (EI[1]=null orEI[3]=null) insert into EU at the end, edges EI[2], EI[4]

4.4.2. if (EI[2]=null orEI[4]=null)

insert into EU at the end, edges EI[1], EI[3]

4.5. if (nei==4) and ((nv=7) or (np=8 and nei!=8)) then

4.5.1. if(ES[1]=null or ES[8]=null) then insert into EU at the end, edges EI[4], EI[1]

4.5.2. if(ES[2]=null or ES[3]=null) then insert into EU at the end, edges EI[1], EI[2]

4.5.3. if(ES[4]=null or ES[5]=null) then insert into EU at the end, edges EI[2], EI[3]

4.5.4. if(ES[6]=null or ES[7]=null) then insert into EU at the end, edges EI[3], EI[4]

5. create EUO // EUO={}

6. repeat

6.1. p0=p1, extract first edge (p1,p2) from EU // p1=(x1,y1)

6.2. insert into EU at the end, edge (p1,p2)

6.3. repeat

6.3.1. extract edge (pa1,pa2) from EU where pa1=EUO[last_element][2] or pas2=EUO[last_element][1]

6.3.2. if (pa1=EUO[last_element][2]) then insert into EU at the end, edge (pa1,pa2)

6.3.3. if (pa2=EUO[last_element][1]) then insert into EU at the end, edge (pa2,pa1)

6.4. until p0=EUO[last_element][2]

7. until MP is empty

8. for every e1=EUO[t] e2=EUO[t+1] //ei=((xi1,yi1),(xi2,yi2)) where t=module(0..size(EUO), size(EUO))+1

8.1. if (e1[2]=e2[1]) and

(e1[1][1]=e2[2][1] or e1[1][2]=e2[2][2]) then

8.1.1. remove from EUO: EUO[t+1], EUO[t]

8.1.2. insert into EUO on position t, edge (e1[1],e2[2])

9. i=0, create FV, FD // FV= {{}}, FD= {}

10. repeat

10.1. i=i+1, create TV // TV={}

10.2. extract first edge e=(p1,p2) from EUO //EUO[1]=e

10.3. p0=p1

10.4. if(p1[1]=p2[1] and p1[2]<p2[2]) or

(p1[2]=p2[2] and p1[1]>p2[1]) then FD[i]=0; else FD[i]=1

10.5. insert into TV vertex p1 // TV[1]=p1

10.6. repeat

10.6.1. extract first edge (p1,p2) from EUO

10.6.2. insert into TV at the end, vertex p1

10.6.3. if (p0=p2) then

10.6.3.1. insert into TV at the end, vertex p2

10.6.3.2. insert into FV at the end, list TV

//FV[size(FV)+1] = TV

10.7. until (p0=p2)

11. until EUO is empty

12. return (FV,FD)

4. CONCLUSIONS

This paper tried to emphasize the importance of software that allows conversion between different types of spatial data and assures import and export of GIS data in Oracle Spatial Database. For the application were chosen all the different types of GIS files: both raster and vector type and ASCII and binary formats. The purpose of selecting these files was to cover all types of spatial data conversions that may exist. Nowadays there isn't an application that facilitate all these functionalitys (import, export, convert) and neither one that can make a conversions between raster and vector formats.

5. REFERENCES

Albert, G.; Ravi, K. & Euro, B. (2007). Pro Oracle Spatial for Oracle Database 11g, Apress, 978-1-59059-899-3, USA

Chuck, M. (2003). Oracle Spatial User's Guide and Reference

George, B. & Korte, P. (2001). The GIS Book, Fifth Edition, Ed. OnwordPress, 0-7668-2820-4, Canada

*** (2010) http://en.wikipedia.org/wiki/GIS_file_formats, Accessed on: 2010-01-10

*** (2001)http://oreilly.com/catalog/orsqlloader/chapter/ch01.ht ml, Accessed on: 2010-01-12
Tab. 1. Metadata table for the maps

 MapInfo

Name Variable Description

MAP ID NUMBER(6) Map primary key
MAP NAME VARCHAR2(15) Map name
MAPTYPE NUMBER(1) Value 0 for a raster map
 and 1 for a vector one
TABLENAME VARCHAR2(15) Table name which stores
 the map. Unique value
XMIN NUMBER(10,4) Minimal latitude
XMAX NUMBER(10,4) Maximal latitude
YMIN NUMBER(10,4) Minimal longitude
YMAX NUMBER(10,4) Maximal longitude
ZMIN NUMBER(10,4) Minimal altitude
ZMAX NUMBER(10,4) Maximal altitude
DESCRIPTION VARCHAR2(50) Supplementary information

Tab. 2. Variables used in the main algorithm

U[x][y] = 0 - cell is not being used; = 1 - cell is being used
A Matrix that stores the altitude of the map cells
n Number of raster cells on latitude in the map
m Number of raster cells on longitude in the map
P List of cells with the same altitude
N List of neighbor cells with the same altitude
T Temporary value, T=(x,y)
F Polygon resulted from P

Tab. 3. Variables used in the create_poligon function

P List of cells that will form the polygon

E List of all edges created by the cells

V List of all vertices created by the cells

EU List of edges necessarily for the polygon creation

nv Number of neighbor vertices (minimum 3, maximum 8)

nei Number of edges that include a point
 (minimum 2, maximum 4)
 The edges are numbered by their position

EI Edge list that include a point // EI[1..4]
 EI[1]=null if edge in position 1 does not exists
 EI[1]=edge1 if edge in position 1 does exists

nes Number of edges that surround a point
 (minimum 3, maximum 8)
 The edges are numbered by their position

ES Edge surround list // ES[1..8]
 ES[1]=null if edge in position 1 does not exist
 ES[1]=edge1 if edge in position 1 does exists

EUO List of ordered edges necessarily for the polygon creation
 EUO[edge nr][1..2] // 1, 2 are the vertices of the edge

FV List of vertices lists that forms the polygon

AV Temporarily vertices list // FV[x]=AV

FD List of directions for FV. FD[x] corresponds to list FV[x]
 FD[x]=0 for the polygon surface that is included
 FD[x]=1 for the polygon surface that is excluded
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