spatial hadoop

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The number of occurrences of each element in the statistical array [1-n], the time complexity O (n), the spatial complexity O (1), the array structure can be changed

* Count the occurrences of each element in the array* The array length is N, and the range of each element is [1,n].* Count the number of occurrences of each element, requiring a time complexity of O (N) and a spatial complexity of O (1). You can modify the values of the elements in the array.** Idea: Traverse to each element, the (element value-1) as the subscript value, the subscript of the element assignment (if positive, assignment-1; if negative,

convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene understanding

convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene understandingDeep learning ideas more and more fire, in this year's CVPR 2015 articles related articles have more than 20, can be seen is very fire. I am also happy to see this article in the recent context of semantic cutting and scene parsing.ausingaofandandwhileattheof Jena.The article says it can perform well on Windows, Mac and Linux systems, and can support OpenCL

Open source Webgis Implementation Program (VI): Spatial data (PostGIS) and GeoServer Service migration

When the development environment changes, or the development completes the project site implementation, the Operation dimension, often will face the data and the service migration, this includes the spatial data as well as the GeoServer service migration work.Here is a reminder: If you are using a similar open source Webgis technology solution, it is recommended that the software environment be consistent before and after the migration to avoid some u

Arcgis for JS implements Graphiclayer spatial query

This section is about ArcGIS for JS graphiclayer spatial query, the content is simple, the code is as follows:The following results are achieved:Initial stateSelection boxArcgis for JS implements Graphiclayer spatial query

Arcgis for JS Featurelayer implementation of spatial query and attribute query

Spatial Query and attribute query is commonly used in two kinds of data retrieval and query, in this section, will tell the ArcGIS for JS How to implement the Featurelayer of these two ways, first map to show you: Implementation interface Property Query Space query After reading the effect, the following talk about my implementation ideas. First of all, the key to the implementation of queries is query, property query Query.where to achieve,

In-situ merging algorithm (spatial complexity is O (1) Merge sort)

Ext.: http://www.cppblog.com/converse/archive/2008/09/28/63008.html The merge sort algorithm (mergesort) divides a sequence into two sub-sequences of the same size, then sorts the two sub-sequences, and finally merges the two subsequence sequences into an ordered sequence. In the process of synthesis, the general realization all need to open up a space with the same size as the original sequence, For merging operations, an example of a merge sort algorithm is here. The time complexity of the in

Arcgis SDE 10.1 Cannot create a spatial library after installation, prompting user has privileges required to create database objects.

Tags: ArcGIS sde 10.1 orcale 11g Spatial database creation failed without permission 64-bit database Geodatabase in the 10.1 version also has a large improvement and update, in the user experience and performance changes, in the actual work may encounter a variety of strange problems (in fact, there is a reason, we need to understand the mechanism of its work to avoid its occurrence); Recently, we need to use SDE for space According to the library op

MongoDB Geo-Spatial index

1. Lbs geo-Spatial indexAbout lbs related items, generally store the latitude and longitude coordinates of each location, if you want to query nearby sites, you need to set up an index to improve query efficiency. MongoDB establishes a geospatial index specifically for such queries. 2d and 2dsphere indexes.2. Create an indexSet up a places collection to store the location where the LOC field is used to store the regional data Geojson point.Db.places.i

Mvn+eclipse build Hadoop project and run it (super simple Hadoop development Getting Started Guide)

This article details how to build a Hadoop project and run it through Mvn+eclipse in the Windows development environment Required environment Windows7 operating System eclipse-4.4.2 mvn-3.0.3 and build the project schema with MVN (see http://blog.csdn.net/tang9140/article/details/39157439) hadoop-2.5.2 (directly on the Hadoop website htt

Hadoop Learning notes: A brief analysis of Hadoop file system

1. What is a distributed file system?A file system that is stored across multiple computers in a management network is called a distributed file system.2. Why do I need a distributed file system?The simple reason is that when the size of a dataset exceeds the storage capacity of a single physical computer, it is necessary to partition it (partition) and store it on several separate computers.3. Distributed systems are more complex than traditional file systemsBecause the Distributed File system

Hadoop Learning notes: A brief analysis of Hadoop file system

1. What is a distributed file system?A file system that is stored across multiple computers in a management network is called a distributed file system.2. Why do I need a distributed file system?The simple reason is that when the size of a dataset exceeds the storage capacity of a single physical computer, it is necessary to partition it (partition) and store it on several separate computers.3. Distributed systems are more complex than traditional file systemsBecause the Distributed File system

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

Hadoop learning notes: Analysis of hadoop File System

1. What is a distributed file system? A file system stored across multiple computers in a management network is called a distributed file system. 2. Why do we need a distributed file system? The reason is simple. When the data set size exceeds the storage capacity of an independent physical computer, it is necessary to partition it and store it on several independent computers. 3. distributed systems are more complex than traditional file systems Because the Distributed File System arc

Test and verify the hadoop cluster function of hadoop Learning

A few days ago, I summarized the hadoop distributed cluster installation process. Building a hadoop cluster is only a difficult step in learning hadoop. More knowledge is needed later, I don't know if I can stick to it or how many difficulties will be encountered in the future. However, I think that as long as I work hard, the difficulties will always be solved.

Fedora20 installation hadoop-2.5.1, hadoop-2.5.1

Fedora20 installation hadoop-2.5.1, hadoop-2.5.1 First of all, I would like to thank the author lxdhdgss. His blog article directly helped me install hadoop. Below is his revised version for jdk1.8 installed on fedora20. Go to the hadoop official website to copy the link address (hadoop2.5.1 address http://mirrors.cnni

[Linux] [Hadoop] Run hadoop and linuxhadoop

[Linux] [Hadoop] Run hadoop and linuxhadoop The preceding installation process is to be supplemented. After hadoop installation is complete, run the relevant commands to run hadoop. Run the following command to start all services: hadoop@ubuntu:/usr/local/gz/

Hadoop introduction and latest stable version hadoop 2.4.1 download address and single-node Installation

Hadoop Introduction Hadoop is a software framework that can process large amounts of data in a distributed manner. Its basic components include the HDFS Distributed File System and the mapreduce programming model that can run on the HDFS file system, as well as a series of upper-layer applications developed based on HDFS and mapreduce. HDFS is a distributed file system that stores large files in a network i

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