ST-Links ArcGIS Spatial Kit

ST-Links ArcGIS Spatial Kit is a free extension to connect to a PostGIS spatial database (PostgreSQL), SQL Server 2008/2008 R2, Oracle or MySQL without the required licenses ArcSDE. ST-Spatial Links Kit formerly named ST-Links PgMap.

ST-Spatial Links Kit version 3.0.4 is now available for ArcGIS 10 (last update on October 21, 2011) and Spatial Kit version 3.0.3 for users of ArcGIS 9.3. SpatialKit This replaces the previous version 3.0.x which is still called PgMap and QMap.
Here are the features on the ST-Spatial Links Kit:
Work with Postgresql / PostGIS, SQL Server 2008/2008 R2 spatial databases
Seamlessly integrates with ArcMap
Use spatial tables and / or views as ArcMap feature layers
Edit spatial database tables / views within ArcMap Editing Session
Support multi-connections, m
ulti-databases, and Various database systems
Persisting connections and layer information in map documents, and layer files
Align spatial reference identity codes with ArcMap spatial references
Support custom coordinate systems
Support SQL Server Geometry, Geography, and PostGIS geometry data types
Support 2D, 3D, and 4D (Z values, and M values)
Support Cross Schemas in spatial databases
Provide view extents and attribute settings for filtering query spatial data while mapping
Provide conversion and loading functions for spatial databases feature classes and tables
Compatible with all database functionalities and business data models
Help you centralize your spatial data in one format for different platforms and applications
Help you centralize your spatial data with enterprise business databases
FREE

MAKING BOOKS in ArcGIS 10 MAP USING GIS DATA DRIVEN

ArcGIS 10 provides Data Driven Pages feature, so you can easily create a map book of a document folder or project folder. ESRI has provided a tutorial how to create a map book using Data Driven Pages feature in terms of video that can be accessed online.

In the webinar (seminar on access to online in a web page) how to create a map book using Data Driven Pages feature in ArcGIS 10, the presenter also shows how to make the index layer of an existing feature layer as well as how to add dynamic text and locator map.

HOW TO READ THE MAP

Map is a partial picture of the earth's surface in a smaller scale and contain any kind of information about mukabumi concerned.
General Map, which describes the earth's surface in general. Usually referred to as topographic maps or some call Topographic Map, as this map illustrates the "face" face of the earth, both physical reality (nature), such as mountains, valleys, rivers, and so on, as well as the appearance of such cultural settlements, roads, and so on. In simple terms a topographic map is a map which describes the appearance of almost all-natural appearance and the appearance of cultural (man-made) that is in the earth's surface scale as far as possible, and presented expeditiously as possible.
Special maps, which describe the special appearance at the earth's surface or appearance of which have anything to do with the earth's surface. This particular map is known as thematic maps because they show only a specific theme, depending on the information to be conveyed. If the information is the information of land, it is called soil maps, if the information is climate information, climate maps it is called, and so forth.
Navigation maps, which are usually referred to as special, ie charts. This map is a special use for the benefit of navigation, such as sea and air navigation.
Excerpts of the above is the notion of maps contained in the e-book How to Read and Use Maps are available free for download (download link at the end of this post). Benefits to be derived from reading maps to very diverse range of applications, the ability to read topographic maps that continue to be trained, one will be able to feel a variety of information that can benefit the individual or others, to hobbies or interests to support the work. With practice and hone skills in reading maps and navigation, so maybe someone find new methods are more practical and easier than those presented in this module.

the location of U.S. combat aircraft wreckage.

Here is a picture of GeoEye-1 satellite image dated 21 November 2009 record that shows the location of U.S. combat aircraft wreckage.

Tesebut planes, lined up very neatly and form patterns that arguably beautiful. The image above can be downloaded in high resolution format from GeoEye-1 through SatelliteImageWallpaper.com or click on the image above.

If you look at the picture above when seen from Google Maps or Google Earth, the more you zoom in, the more it will be seen that the actual aircraft such as the bones are separated from each other, but in the neat stacking.

SRTM DEM data processing

DEM (Digital Elevation Model) is a digital terrain model memperesentasi elevation of the earth's surface. DEM broadly divided into two DSM (Digital Surface Model) and DTM (Digital Terrain Model) if in view of the data acquisition process. There are many sources of data that can produce diantaran DEM SRTM, JERS, and IFSAR.
SRTM image of an image can be obtained for free by downloading. However, keep in perhatiakan bawasannya SRTM image of the right is on the mainland alone. In the sea area of ​​more than zero value encountered that which menjadikann SRTM data on marine areas can not be used for data input. Ideal conditions in the ocean of Regional elevation or height value is TNOL, that comfort is a reference sea level height in the earth's surface.
Excess free SRTM data can be used for various analyzes. However, sometimes the SRTM data are met Patch Missing Data. It was necessary for the correction or removal of the patch of missing data for SRTM data is feasible to use. Selian's original format SRTM data. HGT in which the format is not all GIS software including ArcGIS 9.x can be opened to the need for format conversion of data into geotif.
Application of DEM data is pretty much his DEM data which can be used as input for the creation of digital maps of slope. Selian the DEM data can also be used for field analysis of a region. DEM data are mempersentasikan height field can also be used to create contour maps with notes reolusi vertical DEM must consider that in use.

A. STEP WORK
A. Enable 3dem program by clicking on the desktop of your computer if you do not have please download free at http://www.freedownloadscenter.com/Multimedia_and_Graphics/Video_and_Animation_Tools/3DEM.html "
2. Click on File> Load Terrain> select 'SRTM data'> select the file that you want if / remove paths

3. Click F7 or click the tool 'operation'> Patch Missing Data

4. Then drag the data will be removed patch missing data

5. Box selected areas that would in the patch by using the mouse and press enter

6. So that data can be opened in ArcGIS 9.3, the SRTM data. HGT need to change to the format. Geotif by selecting File> Save GeoTIFF DEM> specify the name of his GeoTiff file (eg: Latihan.tif)

SRTM data processing ON ArcGIS 9.3

7. Activate the ArcGIS program, and then open the exercise files that look just a black box. 2x click on the layer Bali.tif> symbology> select 'classified'> apply

Note: In the SRTM data is only just the right land, land that is not improper

8. Enable extensions "3D Analyst" and "Spatial Analyst" and then click Spatial Analyst> Raster Calculator> Int ([Bali.tif])> evaluate to remove the minus in this case the value of minus -57

9. Once the minimum value of 0 then the DEM data can be used for analysis

System Clearinghouse

2.1 The National Spatial Data Infrastructure (IDSN)
As a provider of data transport and digital spatial information,
IDSN development is expected to create a new communication pattern
the dissemination of spatial data and information that can be quickly
reach all levels of society. Toward the construction of IDSN include five pillars
main, namely:
a) Institutional (Institutional Aspect)
b) Legislation Regulations (Legal Aspect)
c) Key Data (Geospatial Data)
d) Science & Technology (Research & Development)
e) HR (Human Resource Development)
IDSN
Geospatial
data
legal Aspect
ICT
Human Resource
Development
Partnerships
Standards
Public
Access
Clearinghouse
Custodian
RS, GIS &
GPS
Institutional Aspect
Research &
Development
FIELD SETTING

Figure 1 Field Settings IDSN 5

These five main pillars supporting the establishment of IDSN inseparable pillars
with the other pillars, therefore the five pillars are interrelated. Each pillar requires the support of the other pillars. One of the pillars
IDSN supporters called Main Data is a pillar of
establish and coordinate the construction of primary data (fundamental data sets)
with emphasis on the activities include:
a. Standard-setting main data products and data bases
b. Standard-setting procedures and data acquisition network
c. Preparation of standard protocols and data distribution system of the main access
The most fundamental pillars to be built in the main data is to manage the data in order
can be easily accessed and distributed in accordance with the specific purpose
and the public by anyone in need. System to be built
is referring to the system known as the Clearinghouse system.

Spatial Data Model

A. Spatial Data Model
GIS is the data that controls the spatial data. Any functionality that makes the GIS environment is distinguished from other analyzes is that rooted in the authenticity of spatial data [Hur03].

Explain the phenomenon of spatial data related to geographic location relative to the earth's surface (georeferenced) digital format from the appearance of the map, the shape coordinate points, and symbols that define the elements of drawing (cartography), and is associated with the attribute data stored in tables -table for an explanation of the spatial data (georelational data structure).

Spatial data models fall into two basic categories, namely model vector data and raster data model. The following will explain both the spatial data model.

A.1 Vector Data Model
Vector data model represents each feature into a row in the table and form features defined by the point x, y in space. These features may have different characteristics or location of points, lines or polygons. [Hur03].

Locations such as customer address is represented as a point which has a pair of geographic coordinates. Lines, such as rivers or roads, represented as a series of coordinate pairs. Polygon defined by the boundary and is represented by a closed polygon. All that can be defined legally, such as packages of ground; administrative, such as counties. When analyzing the data vector, most of the analysis involves the attributes of the table data layer.

Three kinds of vector data model is:

A. Point (point)

Point is the simplest graphical representation for an object [Hur03]. This representation does not have the dimensions but can be identified on the map and can be displayed on the monitor screen by using symbols.

Object representation point
2. Line (line)

The line is a linear form that will connect at least two points and used to present the two-dimensional objects [Hur03]. Objects or entities that can be represented by lines such as roads, rivers, power lines, water lines.

Object representation of lines
3. Polygons (polygons)

Polygons used to represent two-dimensional objects, eg: Island, the administrative area, the boundaries of land parcels is an entity that is generally represented as a polygon. At least one polygon bounded by three lines of three points that converge to form the field. Polygon has a broad spatial properties, roving isolated or connected to the other, incised (pun intended), and overlapping.

A.2 Raster Data Model
Raster data model represents features in the form of a continuous matrix. Each layer represents one attribute (although other attributes can be incorporated into the cell matrix). Spatial entities are stored in the raster layer functionality that is related by elements of the map. Examples of raster spatial entities are sources of satellite imagery (eg Ikonos).

Representation Raster Data
B. Non-Spatial Data Model
Non-spatial data is data that represent aspects of the description of the phenomenon being modeled that includes items and properties, so that the information submitted will be more diverse. Examples of non-spatial data are: Name of the District, total population, number of male population, number of female residents, district name, address of government offices, web site address, name of the mountain.