3D Analyst Tools ArcToolbox

• What are the benefits of GIS??
• What are the advantages of GIS?
• Why do we use GIS applications??
• What are the objectives of GIS?
• What are the majors of GIS?
• What is the difference between an engineer and a geographer in GIS support??
• The importance of using GIS mechanisms??
• What do we benefit from using GIS software??
• The most powerful and best software that supports GIS
• The importance of using ArcGIS software??
• What are the benefits of ArcGIS software??
• What are the advantages and strengths of ArcGIS software?

Follow the article to find out.

Introduction.

In the beginning and before answering all the questions of the article and its title, ArcGIS programs are among the most important, strongest and best programs that support GIS science, here we must differentiate between GIS science and programs that contribute to the application of this very important science as it is a science that cares In geospatial data and its relationship between many sciences,

The use of GIS is due to those interested in geography and earth sciences, in addition to engineers in particular, surveying engineers.

important note.

In this article, the importance of using geographic information systems (GIS) through ArcGIS programs will be explained.

We summarize the importance, objectives, benefits, specializations and strengths when using GIS and why GIS is the best in the advancement of cities and countries. What services do ArcGIS programs give us to help us implement using GIS?.

Defining ArcGIS Software:

It is a set of programs (ArcMap, ArcToolbox, Arc Catalog, ArcScene and ArcGlobe) concerned with collecting, saving and storing geographical data within geodatabases through digitization and data entry, then analyses are performed It is appropriate to understand geographical data within geographical databases and derive new data from the original data, and then finally reports and maps are produced, all with the aim of supporting in making appropriate decisions to solve many problems and facilitating the access of information to the rest of the people through data presentation methods, whether from programs (ArcMap). , ArcScene and ArcGlobe) or through the websites.

All ArcGIS Software Services:

1. Geographical data collection: through maps and field survey data, whether descriptive data or spatial data (monitoring points from GPS and others), so that these data are checked to facilitate their entry into the geographical databases afterwards.
2. Saving geographical data: Spatial data is saved in various forms, including temporary, such as shapefiles for a certain period, and then transferred to geographical databases that are considered the mother incubator of geographical data in the form of layers. These data are either vector, raster, or data tables. Descriptive (Vector, Raster Data and Table).
3. Storing geographical data: Through a computer or servers (Severs), due to the volume of geographical data that represents a country or a large city, or even large-sized maps and aerial and space images, we need devices for storage.
4. Geographical data analysis:  There are two types of analysis, the first is a theoretical analysis with which we can understand geodata when opened on ArcMap. The second type is through the use of tools and commands within ArcGIS programs through which new data is obtained and derived from the original.
5. Report output: Through statistical and spatial reports and extracting results from any geographical database, we can obtain graphs and write a description of the state of the geographical data that is being worked on.
6. Designing and producing maps: Through maps, we reach all the objectives of our use of GIS and present these maps to decision-makers to take the appropriate decision based on the maps.
7. Conducting analyzes on 3D data: by managing and transforming data on raster and surface data models (Surface Raster Data) and Vector Data, in addition to creating and analyzing surface data in different formats (TIN, Terrain, Surface and Raster Data) And converting between many files to and from the ArcGIS environment such as (OpenFlight, SketchUp, Lidat and Collada), analyzing geometric relationships, data tables, interpolation operations to produce continuous Raster data representing a digital elevation model (DEM), slope data and degree maps Heat and more, all when using the 3D Analyst Tools.
8. Solving spatial or statistical problems: Through basic analysis operations, superposition, truncation, proximity, and statistical analysis can be performed on a set of geographical data, such as cutting a small part of a large group of data, all through the use of the analysis toolbox (Analysis Tools).
9. Producing new data from the original data and improving it to support the production and design of maps: by creating new texts, simplifying and smoothing geographical features and reducing their density, in addition to creating networks and indexing maps and the Map Book, all when using the Cartography Tools.
10. Convert data to and from the ArcGIS software environment: Any type of spatial data produced from programs outside of ArcGIS and we want to add it to the geodatabases in the ArcMap program or other programs within ArcGIS, the Conversion Tools box is used.
11. Managing, developing and improving geodatabases, datasets, layers, feature classes, fields and all data within any geodatabase: all by answering spatial or statistical questions and Data management, workspaces, archiving, attachments, data comparison, sub-categories, main (Domain, Suptypes), geometry network, graphs, indexes, data joins, geographic data displays, packages, coordinate systems, and conversion between them, in addition to creating Relationships between classes, spreadsheets, topology, and versions all through the Datamanangment Tools.
12. Editing and modifying the geographical features: By editing the geographical features that contain vector data without opening the editing (Start Edit) from the editing toolbar, all because of the data collected and saved in the first stage inside a database Geographical data can be inaccurately not all or lacks an environment of slicing and partitioning, especially the boundaries of polygons with geometric problems such as gaps or overlays. Geospatial processing tools are used to solve such problems in addition to addressing the density of vertices of border points (Vertex). And integration and other problems are done through the use of Editing Tools.
13. Operations of setting and determining the location: The coordinates are the first image that determines the location of any landmark on the globe, but locations can be created in other formats and methods that are easier and better than discovering locations through coordinates, This is done by performing geocoding that is widely used in numbering buildings and roads such as a house address through the street number and then the building number within the boundaries of a particular plot of land. There are many numbering and Geocoding formulas that are done through the use of the Geocoding Tools.
14. Create a surface or a connected map from point data and features: such as creating a digital elevation model (DEM) or a depth map to groundwater level, pollution levels, and flood description maps, all through the use of the Geostatistical Tools.
15. Linear reference and return: For linear geographical features and features such as roads, water and sewage networks, in addition to railways and rivers, these features can be viewed, queried, edited and analyzed by using the Linear Referencing Tools.
16. Transportation and Transportation Network Analysis: By analyzing and maintaining any linear network and maintaining network data sets that represent transmission networks, routes and the nearest network, allocate a location on the transmission networks all through Network Analyst Tools.
17. ArcServer Map Management: To support simplification of geodata extraction through the server and ease of printing when viewing data on the web, through the use of the Server Tools.
18. Statistical tools for analyzing distributions and data patterns: through the use of space and time, the fourth and fifth dimensions of geographical data (4D, 5D) by collecting points for analysis with determining trends of hot and cold points of statistical significance over time, such as analyzing crime data or an outbreak of a disease that is Knowing the areas of high and low values, data visualization and analysis results are helped through the Space-Time Pattern Mining Tools.
19. Modelling and spatial analysis of both raster and vector data: The capabilities of the spatial analyzer for features and geographical data are interpreted and the specific evidence to be used with the addition of weights through existing data tables with geographical features, as well as the traditional and new spatial operations that Supports mathematics on geographic data, in addition to the use of condition analysis, density, distance, generalization, groundwater, hydrologic analysis, support for intercalation and reclassification of raster data, segmentation and classification of data, solar radiation and surface, through the spatial  Analyst Tools.
20. Analysis of distributions, patterns, processes and spatial relationships: through spatial statistics, that is, the production of vector data that expresses the distribution and patterns of geographical data, in addition to identifying the similarities between spatial and non-spatial statistics in terms of concepts and objectives by integrating proximity, area, communication and relationships between geographical data, Summarizing the prominent characteristics of the spatial distribution such as determining the mean center, median, and global trend with adding weights through fields in the data tables, Determining spatial groups with statistical significance showing hot and cold points or extreme values ​​to calculate patterns of aggregation or dispersion, determine the appropriate scale of analysis and explore spatial relationships, all of which greatly supports statistics, and this is applied through the use of the Spatial Statistics Tools.
21. Monitoring the quality of geographical data: through tracking processes between users of geographical databases, including editing, drawing and data entry, and knowing the time and time of editing, all through the Tracking Analyst Tools.
22. Obtaining the lengths and areas of geographical features: This is done automatically upon completion of drawing any geographical feature, such as drawing the boundaries of a geographical area whose area is directly known as well as when drawing the main road whose length is known directly, through rules, laws and software developed within the ArcGIS programs.
23. Spatial Suitability Analysis: We use it to implement and follow up on many plans in order to save time and effort and solve problems in determining the best places to build any new site under strong conditions and rules set by experts. The best places are known to establish a factory, a school, a civil defence center A police station, a large mall and other attractions.

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