Insights for ArcGISDavid Thom

Solution Engineer – State Government

ArcGIS Apps Bring the Power of Location to EveryoneExtending the Reach of GIS

Dashboards

Story Maps

Social MediaViewer AppsDesign Apps

Business Apps

Field Apps

Across Organizations and Beyond

ArcGIS | Common Patterns of Use

ArcGIS | Common Patterns of Use

Art Haddad, CTO, Location Analytics

“Data is important…

However, not as important as the answers it

provides or the stories that it tells.”

To understand the data, one must ask questions…

Where can you get a competitive advantage?

Which customers are in this area?

What Factors are Affecting Profitability in NYC vs. LA ?

What’s the Total Insured Value of Clients in this Area?

Where should I be doing better?

Where is your business most exposed?

Where are people most in need?

The Process

of Analysis

Steps of Analysis

1. Begins with a well-framed

question

2. Manipulate, quantify, and

manage your data

Ask and

explore1

Model and

compute2

Examine and

interpret3

Share

results5

Make

decisions4

1. Increasingly data is being

automatically collected

2. The analyst must find the

value in the collected data

An analyst must understand the data, analysis and the intersection between the two

Available with Online or Enterprise

Your infrastructure(physical, virtual, or cloud)

ArcGIS Enterprise

ArcGIS Online

OR

Analytic workflows

ArcGIS Insights

Visualization

• Interactive data views

• Charts, graphs, tables, and maps

• Dynamic selection & cross filtering

• Context of the largest digital atlas in world

Data Preparation

• Format fields

• Calculate new fields

GeoEnablement

• Geocode address

• Convert X,Y

• Join to boundaries

• Join to demographic variables

• Descriptive stats

• Link analysis

• Regression

Statistical AnalysisSpatial Analysis

• How is it distributed?

• How is it related?

• What’s nearby?

• How has it changed?

Record & Repeat Analysis

• Share model to analysts

• Document best practices

• Re-run with new data

Share Results

• Share with executives

• Tell your story

• Share with public

Transforming Understanding with Interactive Analysis

Extending and Complementing Traditional Analysis…

. . . Supporting a System of Insight

Insights

• New Paradigm (Visual, Intuitive, Responsive)

• Dynamic Analysis

• Very Fast Data Access

On-The-Fly Visual Models

Analytic Projects – Workbook, Pages, Cards

What data does Insights work with?

• Feature Layers (WebGIS)

• Spreadsheets

• GeoDatabase

• Business Databases

• Big Data

• Real-time data

Adding Data to Insights

• When adding data to a workbook, each layer, table, or view is added as a separate dataset by

default.

Get started guide

Categorical

Numeric

Shape field

Date/time

Date

components

Data pane

Dataset

Result

dataset

Hierarchy

Indicates

card-dataset

connections

Results of Analytic Operations are expressed in Cards

Visualizations

Distribution: the arrangement of phenomena, could be numerically or spatially

Measure: ascertain the size, amount, or degree of (something)

Change: process through which something becomes different, often over time

A Data clock creates a circular chart of temporal data,commonly used to see the number of events at differentperiods of time.

A box plot displays data distribution showing the median,upper and lower quartiles, min and max values and, outliers.Distributions between many groups can be compared.

Histograms show the distribution of a numeric variable.The bar represents the range of the class bin with theheight showing the number of data points in the class bin.

A heat chart shows total frequency in a matrix. Using atemporal axis values, each cell of the rectangular grid aresymbolized into classes over time.

Line graphs visualize a sequence of continuous numericvalues and are used primarily for trends over time. Theyshow overall trends and changes from one value to the next.

A bar graph uses either horizontal or vertical bars to showcomparisons among categories. They are valuable toidentify broad differences between categories at a glance.

Bubble charts represent numerical values of variables byarea. With two variables (category and numeric), the circlesplaced so they are packed together.

A bar graph uses either horizontal or vertical bars to showcomparisons among categories. They are valuable toidentify broad differences between categories at a glance.

A treemap shows both the hierarchical data as a proportionof a whole and, the structure of data. The proportion ofcategories can easily be compared by their size.

A heat chart shows total frequency in a matrix. Values ineach cell of the rectangular grid are symbolized intoclasses.

Graduated symbol maps show a quantitative differencebetween mapped features by varying symbol size. Data areclassified with a symbol assigned to each range.

A choropleth map allows quantitative values to be mappedby area. They should show normalized values not countscollected over unequal areas or populations.

A chord diagram visualizes the inter-relationships betweencategories and allows comparison of similarities within adataset or, between different groups of data.

Scatterplots allow you to look at relationships between twonumeric variables with both scales showing quantitativevariables. The level of correlation can also be quantified.

A Density/heat map calculates spatial concentrations ofevents or values enabling the distribution to be visualizedas a continuous surface.

Interaction: flow of information, products or goods between places

A chord diagram visualizes the inter-relationships between categories and allows comparison of similarities within a dataset or, between different groups of data.

A combo chart combines two graphs where they sharecommon information on the x-axis. They allow relationshipsbetween two datasets to be shown.

A Density/heat map calculates spatial concentrations ofevents or values enabling the distribution to be visualizedas a continuous surface.

Graduated symbol maps show a quantitative differencebetween mapped features by varying symbol size. Data areclassified with a symbol assigned to each range.

A unique symbol map (areas or points) allows descriptive(qualitative) information to be shown by location. Areashave different fills and points can be geometric or pictorial.

A choropleth map allows quantitative values to be mappedby area. They should show normalized values not countscollected over unequal areas or populations.

Spider lines , also termed desire lines, show paths betweenorigins and destinations. They show connections betweenplaces.

Spider lines, also termed desire lines, show paths betweenorigins and destinations. Flow maps show directionalconnections and flow between places.

Relationship: a connection or similarity between two or more things or, the state of being related to something else

Donut charts are used to show the proportions ofcategorical data, with the size of each piece representingthe proportion of each category.

A treemap shows both the hierarchical data as a proportionof a whole and, the structure of data. The proportion ofcategories can easily be compared by their size.

AcknowledgementInspired by work by Jon Schwabish and SeverinoRibecca, The Graphic Continuum, 2014 and, Alan Smith et al. Visual Vocabulary, The Financial Times, 2016

QuantitativeQualitative TemporalData type:

Linda Beale PhD, 2017

Bubble charts with three numeric variables are multivariatecharts that show the relationship between two values whilea third value is shown by the circle area.

Part-to-whole: relative proportions or percentages of categories, showing the relationship between parts and whole

Link analysis is used to investigate relationships betweenentities where and an entity is an object, person, place orevent. Links connect two or more entities.

Analysis: starts with questions

Analysis: Interactivity or Action Button

Analysis: Interactivity

What Analytic Operations can I do in Insights?

Queries

Filters

Summary Tables

Attribute Joins

Field Calculations

A B

Data Analysis:

Field Calculations Summary StatsΣEnrichment

Plus:

Spatial Filter

Spatial

Aggregation

Fixed Distance & Drive-time buffers

Kernel Density

Find Nearby

Find Similar

Spatial Analysis:

Spatial Join

Relationships

Quantify results: Statistical reporting

Working with tables

Data table

Table card

A window into the steps of analysis

Sharing in Insights

Data

Page

Model

Workbook

David Thom

Let’s See It

In Summary…

• Exploratory and Interactive Spatial Analysis

- Core capability in ArcGIS

• Focus on GIS

- Go beyond basic mapping…

- Harness the full power of ArcGIS and Spatial Analysis

• Start with the Questions, get the Answers, Document the workflows, and Share your stories.

NEW FEATURES

Advanced filters

Calculate field

Change unique

colors

Public sharing

(Online)

Analytic Journals

• Page and card options

• Widgets

- e.g. rich text card

Link Analysis +

• Used to investigate relationships between entities

- where and entity is an object, person, place or event

- A link connects two or more entities

• Link charts

• Spider lines/Desire lines

• Flow maps