Smart Tools

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Patterns and relationships aren’t always obvious by looking at maps and complex datasets; often, there’s too much data to sift through to understand trends and relationships intuitively.

To get the most out of your data, our spatial analysis tools allow you to quantify patterns and relationships in the data and display the results as maps, tables, and charts. GeoReports’ spatial analysis tools empower you and your team to make quick, informed decisions.

Smart data tools and applied examples are grouped below by category:

Summarize data

These tools calculate total counts, lengths, areas, and basic descriptive statistics of features and their attributes within areas or near other features.

Tool

Description

Aggregate Points

This tool works with a layer of point features and a layer of area features. It first figures out which points fall within each area. After determining this point-in-area spatial relationship, statistics about all points in the area are calculated and assigned to the area. The most basic statistic is the count of the number of points within the area, but you can get other statistics as well.

Join Features

This tool transfers the attributes of one layer or table to another based on spatial and attribute relationships. Statistics can then be calculated on the joined features. For example:

·        Join key results of key chemical datasets to map geochemical hazards or constraints (i.e. pH+chloride+sulfate for durability classifications)

·        Undertake slope risk mapping by combining terrain, rainfall, soil types

Summarize Nearby

This tool finds features within a specified distance of features in the analysis layer. Distance can be measured as a straight-line distance or a selected travel mode. Statistics are then calculated for the nearby features. For example

  • Count wells or receptors within a radius of a contaminant source.
  • Assess geo-hazard risk based on selected and/or weighted factors contained in user datasets.

Summarize Center and Dispersion

This tool finds the central feature, mean center, median center, or ellipse (directional distribution) of point features. For example, find the central feature or mean centre in a set of points, such as wells, contaminated sites, or ore bodies to optimise and target investigation or remediation works.

Analyze patterns

These tools help you identify, quantify, and visualize spatial patterns in your data by identifying areas of statistically significant clusters.

Tool

Description

Calculate Density

The Calculate Density tool creates a density map from point or line features by spreading known quantities of some phenomenon (represented as attributes of the points or lines) across the map. The result is a layer of areas classified from least dense to most dense. For Example: Calculating the concentration of chemical analytes based on hits or occurrence in a specified site.

Find Hot Spots

The Find Hot Spots tool will determine if there is any statistically significant clustering in the spatial pattern of your data.  For example: rock or water levels to inform engineering, analysis and or design.

Find Outliers

The Find Outliers tool will determine if there are any statistically significant outliers in the , spatial pattern of your data.  For example, are there anomalous results in the pattern of your environmental Chemical dataset or instrumentation monitoring data? How can you be sure?

Find Point Clusters

The Find Point Clusters tool finds clusters of point features within surrounding noise based on their spatial distribution. For example:

  • Find clusters of samples affected by selected contaminants.
  • Find clusters of boreholes containing voids, user defined features and / or properties.

Interpolate Points

The Interpolate Points tool allows you to predict values at new locations based on measurements from a collection of points. The tool takes point data with values at each point and returns areas classified by predicted values.  Ideal for contouring, water, rock, settlement or other surfaces, potentially combined with 3rd party datasets.

For example

  • An air quality management district has sensors that measure pollution levels. Interpolate Points can be used to predict pollution levels at locations that don’t have sensors, such as locations with at-risk populations—schools or hospitals, for example.
  • Predict heavy metal concentrations in areas based on samples taken from individual samples.
  • Plot settlements, movements, drawdown, groundwater level, anything

Find Locations

These tools find features that pass any number of criteria that you specify. They are typically used for site selection, where the objective is to find places that satisfy multiple criteria.

Tool

Description

Find Existing Locations

This tool selects existing features in your study area that meet a series of criteria you specify. These criteria can be based on attribute queries (for example, borehole depths, material occurrences, structure types) and spatial queries (for example, boreholes or instruments containing certain readings or within a certain distance from a feature).

Derive New Locations

This tool derives new features in your study area that meet a series of criteria you specify. These criteria can be based on attribute queries (for example, sites that are not on soft ground) and spatial queries (for example, basements that are within flood zones).

Find Similar Locations

Based on criteria you specify, the Find Similar Locations tool measures the similarity of locations in your candidate search layer to one or more reference locations.

   

Create Viewshed

This tool creates areas where an observer can see objects on the ground. The input analysis points can represent either observers (such as people on the ground or lookouts in a fire tower) or observed objects (such as wind turbines, water towers, vehicles, or other people). The result areas are those areas where the observers can see the observed objects and vice versa: the observed objects can see the observers. The output is typically used in site suitability and selection analysis.

Trace Downstream

This tool determines the trace, or flow path, in a downstream direction from the points in your analysis layer.

Use proximity

These tools help answer a common question posed in spatial analysis: What is near what?

Tool

Description

Create Buffers

A buffer is an area that covers a given distance from a point, line, or area feature.

Buffers are typically used to create areas that can be further analyzed using a tool such as Overlay Layers. For example, if the question is What boreholes are within 1km of the site?

Find Nearest

This tool finds the nearest features and, optionally, reports and ranks the distance to the nearby features. To find what’s nearby, the tool can either measure straight-line distance or a selected travel mode. There are options to limit the number of nearest features to find or the search range in which to find them.

   

Connect Origins to Destinations

This tool measures the travel time or distance between pairs of points. The tool can report straight-line distances, road distances, or travel times. You provide starting and ending points, and the tool returns a layer containing route lines, including measurements, between the paired origins and destinations. If many origins go to one destination, a table summarizing multiple trips to the destination is included in the output.

Manage data

These tools are used for both the day-to-day management of geographic data and for combining data prior to analysis.

Tool

Description

Extract Data

With this tool, you can select and download data for a specified area of interest. Layers that you select will be added to a ZIP file or layer package.

Merge Layers

This tool copies features from 2 layers into a new layer. The layers to be merged must all contain the same feature types (points, lines, or areas). You can control how the fields from the input layers are joined and copied. For example:

  • Combine datasets from multiple client projects to gather insights over wider areas.
  • Merge and contour 3rd party investigation data such as rock level, groundwater level, etc.

Overlay Layers

Overlay Layers combines 2 or more layers into 1 single layer. You can think of overlay as peering through a stack of maps and creating a single map containing all the information found in the stack. In fact, before the advent of GIS, cartographers would literally copy maps onto clear acetate sheets, overlay these sheets on a light table, and hand draw a new map from the overlaid data. Overlay is much more than a merging of line work; all the attributes of the features taking part in the overlay are carried through to the final product. Overlay is used to answer one of the most basic questions of geography: What is on top of what?

For example

  • What areas of an excavation intercept groundwater (i.e. require dewatering)
  • What land use is on top of what soil type?
  • What wells are within abandoned military bases?
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