Course: Spatial Analysis

Course: Spatial Analysis | Z_GIS

General
- Introduction Forum
- Development feedback Forum
  
  Please post all suggestions and corrections for this module. Refer to specific sections whenever your posting applies to content of a specific section.
- Topics:
  
  extracting information from (big) data for decision support
  concepts of adding value from data to information to knowledge
  selection and aggregation
  pattern and structural analysis: PPA, landscape metrics, ...
  distance based analyses, incl allocation
  spatial interpolation
  multithematic analysis and decision support, GeoPlanner
  focus on exploratory analysis, working with ArcGIS Insights
- Learning objectives (module level):
  
  understand the objective of spatial analytics to create information for decision support from data, by exploring patterns, relations and context
  
  apply exploratory data analysis techniques to detect any underlying spatial organisation
  
  create analytical workflows from individual methods and techniques aiming at answering specific questions and solving problems
  
  select adequate spatial analysis approaches based on generic concepts and data characteristics
  
  automate analytical workflows for pattern detection and knowledge extraction
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Instructions: Clicking on the section name will show / hide the section.

Creating information and value from data
- Learning objectives:
  
  understand the value-adding framework of the knowledge pyramid, from data to information to knowledge (and maybe, onwards to wisdom)
  
  create a (mental) framework for organising spatial analysis methods and tools following underlying geographical concepts like distance, patterns, coincidence etc.
  
  use this framework to establish directions to resources where and how to look up methodology and operations details
- Section overview:
- Geospatial Analysis (eBook) URL
  
  Keep this bookmarked as a reference - anytime you want to dig deeper or explore an analytical method beyond the scope of this course, this will be your starting point!
- MOOC: Going Places with Spatial Analysis URL
  
  Register, and complete this MOOC before, during or after this course depending on scheduled course offerings!
- Lab: Selection and Aggregation URL
  
  To understand empirical data sets and to gain insights into patterns and structures, we explore subsets and selectively summarize features,
- Learn ArcGIS: Solve a spatial problem (25min lesson) URL
- Web Course: Getting Started with Spatial Analysis URL
  
  (Use ArcGIS Online version) - Spatial analysis helps you to understand your world. Explore how the six categories of spatial analysis can help you answer geographic questions. Navigate these questions using the spatial analysis workflow and learn how to apply it to your own projects.
- Esri Academy (Video): ArcGIS Insights - an introcution URL
  
  Get to know this tool for exploratory data analysis. It might be worthwhile to dig deeper if it suits your needs!
- Activities: Page
  
  Tasks to complete this section
- YM: Earthquake Analysis File
- Assessment: Page
  
  Check out these questions and assignments
Network analysis
- Orientation video
- Learning objectives:
  
  Explore conceptual foundations of network-constrained mobility and transport
  
  Use the principle of 'cost' for creating and applying weighted networks
  
  Create simple routes and service areas
  
  Map real world use cases to network analysis methods
- Section overview:
- Network Proximity (Video, AGS Proximity Project) URL
- Lab: Network Analysis URL
  
  Networks connect people and places, and facilitate activities based on mobility, communication and transport.
- Esri Academy: Preparing for Network Analysis URL
  
  (Pro) One of the first steps for transportation network analysis projects is to create the data modeling infrastructure. Learn the basic concepts of network data modeling in ArcGIS and how to use the ArcGIS Network Analyst extension to create a network dataset.
- Network Analysis (PSU e-education institute) URL
- Self assessment questions Page
- Activities: Page
  
  Tasks to complete this section
- Assessment: Page
  
  Check out these questions and assignments
Distance based analysis
- Learning objectives:
  
  understand and appreciate 'distance' and 'proximity' as indicators for potential interaction, similarity and relationships in spatial analysis
  
  describe choices for distance metrics and select suitable options in particular contexts
  
  distinguish and choose between topological (binary) and metric indicators for horizontal (lateral) relationships
  
  apply problem-specific methods for measuring and interpreting distance
  
  design workflows for distance-based selection, spatial interpolation, nearest neighbour, routing, service areas and pattern analysis based on problem analyses
- Section overview:
- Lab: Distance Analysis URL
  
  Check and replicate these lab exercises, preferably with your own application scenario and suitable data!
- GIS&T BoK: FC-42 - Distance Operations URL
- GIS&T BoK: FC-17 - Proximity and Distance Decay URL
  
  Elective topic for 'digging deeper'
- Esri Academy: Introduction to Distance Analysis URL
  
  (Pro) Distance analysis helps answer a fundamental question about geographic data: How far apart are different locations? In this course, you will learn that "how far apart" means much more than the number of kilometers between places on a map—distance can also include the effect of the landscape on movement. You will learn how distance analysis can create more sophisticated models of near and far. You will also apply distance analysis concepts to answer real-world questions about movement across the landscape
- Esri Academy: Introduction to Proximity Analysis (Web Course, Pro) URL
- Learn ArcGIS: How far can you see (1 hour lesson) URL
- Learn ArcGIS: I can see for miles and miles (50min lesson) URL
- Activities: Page
  
  Tasks to complete this section
- Assessment: Page
  
  Check out these questions and assignments
Spatial interpolation
- Orientation
- Learning objectives:
  
  understand spatial autocorrelation as a fundamental characteristic in spatial organisation of phenomena, including the tenet of Tobler's first law of Geography
  
  apply suitable methods to distinguish between random and clustered distributions of locations and observations
  
  select adequate interpolation techniques depending on scale level, sample distribution and spatial variation
  
  make informed choices for IDW parametrization and assess quality of interpolation results
- Section overview:
- Lab: Spatial Interpolation URL
  
  A set of methods aimed at estimating values at target locations based on measurements at nearby sample points.
- Esri Academy: Interpolating Points Using ArcGIS Online (Web Course) URL
- Learn ArcGIS: Interpolate values (40min lesson) URL
- Activities: Page
  
  Tasks to complete this section
- Assessment: Page
  
  Check out these questions and assignments
Surface / terrain analyses
- Orientation
- Section overview:
- Learning objectives:
  
  be familiar with concepts for modeling spatially continuous phenomena
  
  understand, interpret and design analytical workflows for terrain surfaces
  
  gain experience with modeling of gravity-controlled surface processes (runoff)
  
  manage the parametrization of radiative processes (visibility, solar radiation)
- Lab: Terrain Analysis URL
  
  Starting from Digital Elevation Models (DEM), creation and analysis of morphometric parameters offers insights into topographic processes.
- Lab: Visibility Analysis URL
  
  Visibility is constrained by topography & what is built or growing on it. Nice vista or visual impact, it starts with line-of-sight analysis.
- Lab: Surface Runoff URL
  
  Hydrological catchments are basic landscape elements, defined by surface water runoff, erosion and associated mass transports.
- Lab: Sun-Shine-Energy URL
  
  Solar radiation is driving many physical, biological and physiological processes on Earth, essentially providing the energy sustaining life.
- Learn tutorial: Estimate solar power potential URL
- Assessment: Page
  
  Check out these questions and assignments
- Activities: Page
  
  Tasks to complete this section
Multithematic analytics
- Orientation
- Learning objectives:
  
  understand the value of co-location and spatial coincidence as an indicator for spatial relations, and as a starting point for suitability (and other) modeling
  
  experience multi-thematic selection and integration through map algebra, raster calculation and vector overlay
  
  use spatial join operations to connect themes by location
  
  apply statistical descriptors to explore multi-thematic correlations
- Section overview:
- Lab: Weighted Overlay URL
  
  A set of tools helping to solve multi-criteria problems like site selection or suitability analysis.
- GeoPlanner URL
  
  Geodesign and scenario planning application that keeps the pulse on the environmental impact for new or existing designs. Start from familiarizing yourself with GeoDesign!
- Suitability Modeler (Advanced) URL
  
  Explore this topic if you're already familiar with weighted overlay and plan to explore a more complete workflow for suitability assessment.
- Lab: Cost Surface Analysis URL
  
  A cost surface facilitates the analysis of propagation, spreading and movement processes in 2D, unconstrained by (transportation) networks.
- Activities: Page
  
  Tasks to complete this section
- Assessment: Page
  
  Check out these questions and assignments

Course: Spatial Analysis | Z_GIS

General

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Creating information and value from data

Network analysis

Distance based analysis

Spatial interpolation

Surface / terrain analyses

Multithematic analytics