This document introduces Kenneth Weismuller and Jordan Carmona as the ArcGIS Nerd Fighters. They will cover advanced editing tools in ArcGIS, building and editing topologies, and using the field and geometry calculators. Attendees are invited to join them in a demonstration lab to get hands-on experience applying these tools and techniques to build a sample subdivision and collect homeowner association fees.
Interpolation is the process of using points with known values to estimate values at other unknown points. It can be used to predict unknown values for any geographic point data, such as elevation, rainfall, noise levels, atmospheric components and so on.
The Inverse Distance Weighting (IDW) assumes each input point to have a local influence that diminishes with distance. It assumes that closer things are more alike than those that are farther apart. It weights the points closer to the processing cell greater than those further away. A specified number of points, or all points within a specified radius can be used to determine the output value of each location. To predict a value for any unmeasured location, IDW will use the measured values surrounding the prediction location. Those measured values closest to the prediction location will have more influence on the predicted value than those farther away.
Spline estimates values using a mathematical function that minimizes overall surface curvature, resulting in a smooth surface that passes exactly through the input points. This method is best for gently varying surfaces, such as elevation, water table heights, or pollution concentrations. A Regularized method creates a smooth, gradually changing surface with values that may lie outside the sample data range.
Kriging is a geostatistical interpolation technique that considers both the distance and the degree of variation between known data points when estimating values in unknown areas. Kriging assumes that the distance or direction between sample points reflects a spatial correlation that can be used to explain variation in the surface. The Kriging tool fits a mathematical function to a specified number of points, or all points within a specified radius, to determine the output value for each location. Kriging is a multistep process; it includes exploratory statistical analysis of the data, variogram modeling, creating the surface, and (optionally) exploring a variance surface. Kriging is most appropriate when you know there is a spatially correlated distance or directional bias in the data. It is often used in soil science and geology.
Trend is a statistical method that finds the surface that fits the sample points using a least-square regression fit. It fits one polynomial equation to the entire surface. This results in a surface that minimizes surface variance in relation to the input values. The surface is constructed so that for every input point, the total of the differences between the actual values and the estimated values (i.e., the variance) will be as small as possible.
THIS PRESENTATION IS TO HELP YOU PERFORM THE TASK STEP BY STEP.
Interpolation is the process of using points with known values to estimate values at other unknown points. It can be used to predict unknown values for any geographic point data, such as elevation, rainfall, noise levels, atmospheric components and so on.
The Inverse Distance Weighting (IDW) assumes each input point to have a local influence that diminishes with distance. It assumes that closer things are more alike than those that are farther apart. It weights the points closer to the processing cell greater than those further away. A specified number of points, or all points within a specified radius can be used to determine the output value of each location. To predict a value for any unmeasured location, IDW will use the measured values surrounding the prediction location. Those measured values closest to the prediction location will have more influence on the predicted value than those farther away.
Spline estimates values using a mathematical function that minimizes overall surface curvature, resulting in a smooth surface that passes exactly through the input points. This method is best for gently varying surfaces, such as elevation, water table heights, or pollution concentrations. A Regularized method creates a smooth, gradually changing surface with values that may lie outside the sample data range.
Kriging is a geostatistical interpolation technique that considers both the distance and the degree of variation between known data points when estimating values in unknown areas. Kriging assumes that the distance or direction between sample points reflects a spatial correlation that can be used to explain variation in the surface. The Kriging tool fits a mathematical function to a specified number of points, or all points within a specified radius, to determine the output value for each location. Kriging is a multistep process; it includes exploratory statistical analysis of the data, variogram modeling, creating the surface, and (optionally) exploring a variance surface. Kriging is most appropriate when you know there is a spatially correlated distance or directional bias in the data. It is often used in soil science and geology.
Trend is a statistical method that finds the surface that fits the sample points using a least-square regression fit. It fits one polynomial equation to the entire surface. This results in a surface that minimizes surface variance in relation to the input values. The surface is constructed so that for every input point, the total of the differences between the actual values and the estimated values (i.e., the variance) will be as small as possible.
THIS PRESENTATION IS TO HELP YOU PERFORM THE TASK STEP BY STEP.
EnviroInsite can serve as a Web Map Service client. Presentation describes procedures for selecting the coordinate system and the features from a particular web map service.
EnviroInsite can serve as a Web Map Service client. Presentation describes procedures for selecting the coordinate system and the features from a particular web map service.
A geographic information system (GIS) is a collection of hardware,
software, geographicdata, and personnel designed to create, store, edit,
manipulate, analyze and display geographically referenced information.
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present all types of geographical data. The acronym GIS is sometimes used for geographical information science or geospatial information studies to refer to the academic discipline or career of working with geographic information systems and is a large domain within the broader academic discipline of Geoinformatics. In the simplest terms, GIS is the merging of cartography, statistical analysis, and computer science technology.
This is presentation is intended for middle school students. It provides a short introduction to GIS and how to use GIS in the real-world.
ArcGIS Explorer is the software used to demonstrate concepts.
45 minutes + 15 minutes demo
Download ArcGIS Explorer here...
http://www.esri.com/software/arcgis/explorer/
Presentation: This presentation gives a brief introduction to tools in ArcGIS and was designed for the Surface Water Quality Monitoring (SWQM) GIS training hosted by Texas Commission on Environmental Quality (TCEQ) staff.
Training: The goal of the SWQM GIS training course is to introduce beginner and intermediate GIS users within the TCEQ surface water monitoring network to the geospatial software, skills, analyses, and data most often used by water resource professionals. The training features presentations from a range of GIS experts from TCEQ, TPWD, and other organizations.
More information on the training: https://www.tceq.texas.gov/waterquality/monitoring/training
Adding Location and Geospatial Analytics to Big Data Analytics (BDT210) | AWS...Amazon Web Services
(Presented by Esri)
When people analyze a problem, they often include location at the core of the analysis. Location and spatial context, combined with geographical knowledge, can make the biggest difference in understanding a problem and analyzing it in a more meaningful way.
In this session, we show how Amazon EMR can be used with location and geospatial analytics, and how the Amazon EMR API and the Python SDK were used to build tools that integrate Big Data and geospatial analysis. We also show powerful visualization options for displaying your results, using maps which can be shared in reports or distributed online and to mobile apps.
What is GIS ?
Dimensions Modeling in GIS ?
GIS Models real word(Raster, Vector)
GIS Challenges ? Data and Tech.
GIS Functionality
Building information modeling (BIM) ?
GIS Components
Spatial Data
2. Your ArcGIS Nerd Fighters
Kenneth Weismuller
GIS Manager
7 years of experience
BS from Stephen F Austin
University
Started GIS by doing GPS work
for oil and gas
During school worked for the City
of Nacogdoches GPS/GIS Tech
Started at BIS in 2012 as a GIS
Tech I
Jordan Carmona
GIS Technician II
2 years of experience
2 BA from UNT in History and
Political Science
Started at BIS in 2014 as a GIS
Tech I
3. Class Line Up
More editing tools
Common tools used in
production level editing
Selection queries
Why it’s useful
Simple selections
Applied uses
Topology
Overview
Errors
Why it’s important
Building a topology
Field calculator
Why it’s useful
Simple calculations
Geometry calculator
5. Proportion Tool
Part of the COGO Toolbar
Splits a line feature according
to distance calls
Difference in lengths are
proportioned
6. Extend Tool
Part of the Advanced Editing
Toolbar
Select the line feature that you
want to extend to
Click the line feature that you
want extended
7. Copy Parallel Tool
Part of the Editor Toolbar
Copies selected line features at
the specified distance
Useful for road rights of way,
and creating lots
8. Fillet Tool
Part of the Advanced Editing
Toolbar
Creates an arc that is tangent
to two line features
Useful for creating curves
without having curve data
9. Planarize Lines Tool
Part of the Topology Toolbar
Splits line features where they
intersect
Removes overlapping line
segments
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10. Traverse Tool
Part of the COGO Toolbar
Creates features segment by
segment using COGO calls
Can create straight or curved
lines
17. Why is Topology Important?
Guarantees all layers are lining up correctly
Removes overlap, underlap, stacking, and dangles
Improves ArcMap performance
18. Building a Topology
Guarantees all layers are
lining up correctly
Removes overlap, underlap,
stacking, and dangles
Improves ArcMap
performance
20. Why it’s Useful
ArcMap is a database visualizer
ArcMap allows database records
to be searched using SQL
commands
Large databases are hard to
search through manually
SQL = Structured Query Language
22. Applied Uses
Analysis
Finding needles in haystacks The above statement will only select accounts that:
1. have more than 100 acres,
2. have improvements valued at less than $250,000,
3. are located within the physical bounds of Graham
ISD.
27. Summary
You are ready to nerd out to:
Some advanced editing tools
Topology creation and editing
Field and geometry calculators
Ready to nerd further?
Check out our demonstration lab!
Nerd your way through all of our class material
28. Would You Like to Know More?
Come join us in the lab!
Build your own subdivision!
Collect HOA Fees!