postgres spatial

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Spatial Cartesian coordinate transformation-affine transformation)

the Kernel Algorithm and parameter solving process. Many times we feel that we have solved this problem, so we will not focus too much on the underlying implementation algorithm problems. However, to tell the truth, it is a headache to really figure out the relationship between models. Without a certain mathematical skills, I really don't know what it is talking about. Ii. Affine TransformationAffine transformation is a type of spatial Cartesian coor

Spatial syntax (2) -- axwoman 6.0

1 axwoman 6.0 Overview 1.1 axwoman Introduction Axwoman is a set of spatial syntactic analysis tools integrated in GIS. Developed Using C # And ArcObjects, it is an extension of ArcGIS 10. Supports spatial Syntactic Analysis of axes and natural streets. Spatial syntactic analysis was first developed by Bill Hillier and his colleagues (Hillier and Hanson 1984)

Scene Management-spatial partitioning

Scene Management --- spatial partitioning For personal use only, do not reprint, do not use for any commercial purposes. today, I have carefully considered space division, record down: This article is very simple, when quadtree , K-D tree when using spatial data interfaces to divide scenarios, all nodes can store objects ( method 1 ) , or store only on leaf nodes ( method 2 ) ? Fo

How do I connect to a spatial database? __ Database

"Summary" This article describes how to use Arccatalog and C # code to connect Oracle ARCSDE space databases. For ARCSDE management and development, you must first know how to connect to a spatial database. Connecting to ArcSDE actually consists of two types: three-layer mode and two-layer mode. The three-tier mode is that the client connects directly to the ARCSDE service, and then the ARCSDE service processes the connection to the

Research on Oracle spatial data encryption problem

oracle| Encryption | data | problems Oracle 9i2 Features: 1, the return value is the custom object type function. For example, the Sdo_geometry data type. 2, can use Java or C language to write stored procedures. ÷ Oracle Spatial Advanced Features: You can use the return value to obtain the spatial data as a geometric column for a custom function of the Sdo_geometry data type. Encryption implementation: 1

Oracle Spatial Sdo_geometry Detailed description ____oracle

In ArcGIS, there are several ways to store data from SDE Storage to Oracle: binary long Raw, ESRI's st_geometry, and Oracle spatial sdo_geometry, and so on. The pros and cons of these approaches are not the main direction to explore, and we can get help from ArcGIS Server in ArcGIS. The main point here is to learn about storage based on Oracle spatial, where the field type of geometric column shape is mdsy

Creating a spatial index in Oracle

Tags: style blog color ar using SP data div onOracle spatial can easily store spatial data, and large amounts of spatial data must be queried using spatial indexes. Creating a spatial index in Oracle requires that metadata be established before the index can be created. To c

Spatial filter Enhancement

The previous period summed up the image noise classification and distribution, and then went out to play for a few days. Now proceed to the previous content to continue the study. Image noise is an important cause of image quality reduction, improve the quality of the image has two kinds of methods, such as image enhancement, that is, the reasons for not considering the quality of the image, only the parts of interest in the image processing or highlighting the useful image features, so the impr

Selection analysis of Oracle spatial query

Tags: com nali uses different space Oracl image ext ATIIn the previous article, I used a case to demonstrate how the selection is calculated for a field of numeric or string type. It also proves that when the selection of the field value is not the same, it will affect the CBO to choose the final execution plan. For sortable field types, the selection calculation model has been written by many people, but how to calculate the choice of spatial query i

Image denoising algorithm in spatial domain

Image denoising algorithm in spatial domainImage denoising you want to use redundant information from the image itself to remove the image noise without affecting the image details. But often both cannot be combined. The following mainly introduces three kinds of denoising algorithms based on Gaussian weighting in spatial domain, namely Gaussian filtering algorithm, bilateral filtering and non-local mean va

Post-course review of GIS: Spatial data processing-1. Approximate framework

All attribute values on a geographic surface is related to the other, but closer values is more strongly related than a Re more distant ones. A geographic thing or attribute is related to each other in spatial distribution, and there is a agglomeration (clustering), stochastic (random), rule (regularity) distribution.  ————Waldo Tobler The approximate framework for the Spatial data Processing section i

R-Tree Spatial Index

The achievements of R-tree in fields such as databases are very significant. It solves the problem of searching in high-dimensional space very well. Take an example of the R-tree that can be solved in the real world: find all the restaurants within 20 miles. What would you do if there were no R-trees? In general, we will divide the coordinates of the restaurant (x, y) into two fields in the database, one field records the longitude, and the other field records the latitude. That way we need to t

The spatial selection method for ArcMap by location

1 Understanding the target layer and the source layerThe target layer is the layer from which the feature is selectedThe source layer is a layer in which the user uses the features in the layer to determine which features should be selected based on the spatial relationship of the layer to the target layer. 2 Learn about selecting a spatial relationship rule for the selected itemIn the figure, the selected

FME + Oracle Spatial + SFS + tepro

A process was recently tested: 1. Use tepro to create a vector layer and save it to the SHP format; 2. Use FME to import the SHP file to Oracle Spatial; 3. Release vector layers in Oracle Spatial into WFS-T services through SFS; 4. Load the WFS-T Service released by SFS through tepro, edit and other operations, and save the results directly to the Oracle Spatial

Arccatalog converts spatial data by projection

Arccatalog converts spatial data by projection 1. Select arctoolbox in the tool icon, open the arctoolbox window, select the Search tab, and search for "project". In the result, double-click the project or batch project item, you can select a single layer or perform bulk projection conversion on multiple layers. 2. Take the project window as an example. Select the target layer, set the output path and file name, open the ing projection coordinate sy

about how to control access to spatial data in your Web project (i)

Wednesday, JUNE Recently, I've been working on the issue of how to implement rights management for spatial data (published on GeoServer) in my Webgis project. Although we have not been able to find a perfect solution so far, but through these days of learning and access to information, the idea of how much progress, so recorded, do a simple summary.Security modules in the 1-geoserver  GeoServer is a GIS application server that enables users to share a

Spatial complexity of algorithms

' Algorithmic space complexity ', don't think how big this thing is, I promise you will understand it after reading this article.Recently in the gnawing algorithm, found very interesting. In the course of my study, I found a problem, that is, the problem of space complexity, it is definitely the killer of efficiency.Introduction to space complexity (from Baidu)Spatial complexity (space complexity) is a measure of how much storage space is temporarily

Spatial Pyramid Pooling in deep convolutional Networks for Visual recognition

First, the main idea of this paperConsidering that the size of the input image of the traditional CNN architecture is fixed (for example: 256*256), this artificially changing the size of the input image destroys the scale and length-to-width ratio of the input image. The author considers that the input size of the convolution layer can be arbitrary, and the input of the fully connected layer is fixed. To solve this problem, the author proposes spatial

Oracle spatial query with data type Sdo_geometry

: = Fun_creategeometry ( WKT = WKT, Srid = Srid ); INSERT into map_user_8332 (OBJECTID, SHAPE) VALUES (OBJECTID, V_return); END Addnewpoint; Call the stored procedure to create the geometry, noteThe Srid must be consistent Called in Oracle SQL developter: DECLARE OBJECTID number; WKT VARCHAR2 (200); SRID number; BEGIN OBJECTID: = 100; WKT: = ' point (118.731963311458 32.0661417793197) '; SRID: = 4326; Addnewpoint (OBJECTID, WKT, SRID); END; Called in SQL Plus: EXECUTE addnewpoint (1, ' point

MongoDB series five (geo-spatial Index and query).

[longitude, Latitude] ([longitude, Latitude]): {"Geometry": {"Type": "Point","Coordinates": [125.6, 10.1]}} A line can be represented by an array of dots: {"Geometry": {"Type": "LineString","Coordinates": [[125.6, 10.1],[125.6,10.2],[125.6,10.3]]}} Polygons are represented as lines (all arrays of dots), but "type" is different: {"Geometry": {"Type": "Polygon","Coordinates": [[125.6, 10.1],[125.5,10.2],[125.7,10.3]]}} The type is in addition to point, LineString (line), Polygon (Polygon), MultiP

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