Those step-by-step tutorials are created for novices in GIS. By design, they are very simple and provide only essential and practical information to accomplish most common tasks with GIS software. For in-depth coverage of the topic, please, refer to ESRI ArcGIS Resources http://resources.arcgis.com/en/help/main/10.1/

Geodatabase can incorporate links to the non-spatial databases, shapefiles, images, etc. A key geodatabase concept is the dataset. It is the primary mechanism used to organize and use geographic information in ArcGIS. The geodatabase contains three primary dataset types:

• Feature classes
• Raster datasets
• Tables

Creating a collection of these dataset types is the first step in designing and building a geodatabase. Users typically start by building a number of these fundamental dataset types. Then they add to or extend their geodatabases with more advanced capabilities (such as by adding topologies, networks, or subtypes) to model GIS behavior, maintain data integrity, and work with an important set of spatial relationships.

Geodatabase elements

All GIS users will work with three fundamental dataset types regardless of the system they use. They'll have a set of feature classes (much like a folder full of Esri shapefiles); they'll have a number of attribute tables (dBase files, Microsoft Access tables, Excel spreadsheets, DBMSs, and so forth); and most of the time, they'll also have a large set of imagery and raster datasets to work with.

Fundamentally, all geodatabases will contain this same kind of content. This collection of datasets can be thought of as the universal starting point for your GIS database design.

Very often your collaborators/scouts send you their geographical data (points, lines, polygons) in KMZ/KML format as GoogleEarth application is freeware and readily available. In order to do GIS analysis on such data and incorporate them into your ArcMap project you will need to import such data into ArcMap.

1. Make sure you received KML and not KMZ (zipped KML package) data. If you received KMZ, open the file in Google Earth first and save as KML. Refer to this blog post for detail instructions. Note: You might try to work on KMZ directly in ArcMap, I confirmed that ArcMap 10.2 can import point data from KMZ file, but previous version and other data (lines, polygons) had given me problems in the past when I tried importing from KMZ directly.

2. Start ArcMap (new project or any project covering the area your data are coming from). Open ArcToolBox (click on the red toolbox icon on the top). In Conversion Tool/From KML start KML To Layer.

Presentation, embedded below was developed to bring users up to speed in interpretation of their resistivity data. Class for end users was conducted in Indonesia and included training on field data collection with SibER-48 using ~ 900 m long profile in Wenner-Schlumberger and pole-dipole (remote electrode) 2D tomography. On the second day users received hands-on instructions on data import into RES2DINV software, quality assurance of the data based on visual approach as well as through RMS of the interpretation model. 

General discussion about non-uniquness of the subsurface interpretation modl for 1D, 2D, and 3D representations has followed this class. 

Slides can be viewed on http://www.slideshare.net/LarisaGolovko/training-on-res2dinv-and-siber48

1. Bring polygon dataset to ArcMap – can be shapefile from the local drive.

2. Bring CSV or Excel table with Lat Long for points:

3. Right click the CSV file and export data as shapefile (creates a shapefile from table data).

Dr. Larisa Golovko (President of Landviser, LLC) will be presenting "Geophysical Methods of Electrical Resistivity and Self-Potential in Agriculture" in first of 

Agricultural Geophysics Webinar Series: "Application of Geophysical Methods to Agriculture: Methods Employed"

A live webinar on the application of geophysics to agriculture will be offered on:

Tuesday, February 18, 2014, from 3pm - 4:30pm EST
(2:00 - 3:30 CST, 1:00 - 2:30 MST, 12:00 - 1:30 PST)

This first in a series of agricultural geophysics webinars will focus on the near-surface geophysical methods presently being used for agricultural purposes, which include resistivity, self-potential, electromagnetic induction, ground penetrating radar, dielectric sensors, VIS/NIR/MIR spectrometry, gamma ray spectrometry, mechanical soil compaction sensors, and ion selective potentiometry. Five presenters will provide a short overview of agricultural geophysical methods during the first 30 minutes of the webinar. The last hour of the webinar will be devoted to a panel discussion with the presenters, who will answer questions from the audience.

Location

Dear visitors, clients, collegues and friends!

Landviser LLC is wishing you Happy, Healthy and Prosperious 2014! Let all your ideas to develop into innovative products and services to create more Joy on our planet Earth and gain yet more understanding about our World. We continue to develop and test our equipment for different environmental applications in collaboration with leading research organizations worldwide. This year we would like to congratulate Department of Soil Physics and Reclamation in Moscow State University (M.V. Lomonosov), Faculty of Soil Science with 70th Anneversary:

Also, this year we added two innovative geophysical devices to our offerings in collaboration with OOO Electrometry and Gelion holding (Russia):

Electromagnetic multi-frequency profiler AEMP-14

Electrical tomography SibER-48 equipment

Do not hesitate to ask us about applications of geophysics in archaeology, agriculture, and environmental sciences. We are here to "Enlighten Your Research".

Locations

1. Install Google Earth from http://earth.google.com . Open Google Earth and go to Tools\Options

Location

• ·         Range of measurements…...............…………………………………….………......................................ER= 0.1-1 10⁶ Ohm m
• ·         Automatically adjusts electrical resistivity range to provide best measurement accuracy.

Larisa presented paper and conducted workshop on "Electrical Geophysical Methods in Agriculture" at 4th International Symposium on Intelligent Information Technology in Agriculture (ISIITA) in Beijing, China.

LandMapper ERM-02 is usually supplied with one four-electrode probe in Wenner configuration (optional) and the probe-specific coefficient K is preset in the device memory (K1). If you ordered or build multiple probes/cable arrays, you can change K1-K9 coefficients in the device. Note: K0=1 always and is not changeable by user!

1. Press the power button to turn the device on. As the device is turned on the brief message "ASTRO-LANDVISER" is displayed on the screen of the device.
2. Press and hold the FUNCTION key (►) and press the UP key (▲) to enter the coefficient changing mode.
3. Scroll through K coefficients with the keys (▲) or (▼).  Change the value of the coefficient with the keys (◄) and (▲) or (▼). The digit to be changed is selected with the INPUT key (◄), the digit starts blinking and can be changed with the keys (▲) or (▼). The value of K0=01.00 is constant and cannot be changed by the user. If a measurement is taken using K0, the resulting output is resistance, not resistivity, and can be useful when the geometry of the array is constantly changing, as in 2D imaging or electrical tomography. In this case the resistance values can be multiplied by corresponding K coefficients according to the arrays used to obtain the resistivity. In conductivity mode, when measurements are taken with K0, the measured value is conductance, not conductivity, and the results can be converted to conductivity after measurements with appropriate geometrical coefficient.