Spatial Data Science with ArcGIS Pro (Paperback)
Noah Publishing
Sold by CitiRetail, Stevenage, United Kingdom
AbeBooks Seller since 29 June 2022
New - Soft cover
Condition: New
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Add to basketSold by CitiRetail, Stevenage, United Kingdom
AbeBooks Seller since 29 June 2022
Condition: New
Quantity: 1 available
Add to basketPaperback. Can You Turn Geographic Data Into Powerful Insights Before Critical Decisions Are Made?Every day, organizations collect enormous amounts of location-based information from satellites, sensors, surveys, databases, and field observations. But raw geographic data alone does not create solutions. The real advantage comes from understanding how to analyze spatial information, discover hidden patterns, and build predictive models that support smarter decisions.Spatial Data Science with ArcGIS Pro: Machine Learning and Predictive Analytics for Geospatial Professionals provides a practical pathway for professionals, students, researchers, and GIS users who want to understand how modern spatial analysis combines Geographic Information Systems, machine learning, and predictive analytics.What happens when traditional mapping is no longer enough?Many professionals now face challenges that require more than creating maps. They need to forecast environmental changes, evaluate risks, analyze urban growth, improve infrastructure planning, monitor resources, and make decisions based on complex geographic relationships.However, working with spatial data science can feel overwhelming without a clear understanding of data preparation, modeling techniques, validation methods, and practical workflows.This guide breaks down complex concepts into structured, practical lessons designed to help readers develop confidence with spatial analysis and predictive methods.Inside this book, you will learn how to: Understand the foundations of spatial data science and GIS analysisPrepare, organize, and manage geographic datasets effectivelyWork with coordinate systems, geodatabases, layers, and attribute informationApply machine learning concepts to geographic problemsUse classification, regression, clustering, and predictive modeling techniquesBuild risk models and analyze changing geographic conditions over timeImprove workflows through automation and efficient data processingCommunicate results using professional maps, dashboards, and visual analyticsValidate models and avoid common analytical mistakesApply spatial data science methods to real-world projects involving environment, cities, public health, and emergency managementWhy Read This Book?Spatial data science is becoming an essential skill across industries that depend on location intelligence. From climate research and disaster response to urban development and business planning, professionals who can interpret geographic data and build reliable predictions have a growing advantage.This book is designed to help readers move beyond basic mapping and understand how spatial information can be transformed into actionable knowledge.Whether you are a GIS beginner developing foundational skills or a professional expanding into machine learning-based analysis, this guide provides practical explanations, realistic examples, and structured workflows that support confident learning.Start Building Your Spatial Data Science Skills TodayTransform geographic information into meaningful insights, strengthen your analytical capabilities, and develop the skills needed to work with modern GIS and predictive technologies.Get your copy of Spatial Data Science with ArcGIS Pro today and begin building a stronger foundation in machine learning-powered geospatial analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller Inventory # 9798191016399
Every day, organizations collect enormous amounts of location-based information from satellites, sensors, surveys, databases, and field observations. But raw geographic data alone does not create solutions. The real advantage comes from understanding how to analyze spatial information, discover hidden patterns, and build predictive models that support smarter decisions.
Spatial Data Science with ArcGIS Pro: Machine Learning and Predictive Analytics for Geospatial Professionals provides a practical pathway for professionals, students, researchers, and GIS users who want to understand how modern spatial analysis combines Geographic Information Systems, machine learning, and predictive analytics.
What happens when traditional mapping is no longer enough?Many professionals now face challenges that require more than creating maps. They need to forecast environmental changes, evaluate risks, analyze urban growth, improve infrastructure planning, monitor resources, and make decisions based on complex geographic relationships.
However, working with spatial data science can feel overwhelming without a clear understanding of data preparation, modeling techniques, validation methods, and practical workflows.
This guide breaks down complex concepts into structured, practical lessons designed to help readers develop confidence with spatial analysis and predictive methods.
Inside this book, you will learn how to:
Spatial data science is becoming an essential skill across industries that depend on location intelligence. From climate research and disaster response to urban development and business planning, professionals who can interpret geographic data and build reliable predictions have a growing advantage.
This book is designed to help readers move beyond basic mapping and understand how spatial information can be transformed into actionable knowledge.
Whether you are a GIS beginner developing foundational skills or a professional expanding into machine learning-based analysis, this guide provides practical explanations, realistic examples, and structured workflows that support confident learning.
Start Building Your Spatial Data Science Skills TodayTransform geographic information into meaningful insights, strengthen your analytical capabilities, and develop the skills needed to work with modern GIS and predictive technologies.
Get your copy of Spatial Data Science with ArcGIS Pro today and begin building a stronger foundation in machine learning-powered geospatial analysis.
"About this title" may belong to another edition of this title.
Orders can be returned within 30 days of receipt.
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to CitiRetail, Stevenage, United Kingdom, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
Please note that titles are dispatched from our US, Canadian or Australian warehouses. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 7-14 days.
| Order quantity | 7 to 60 business days | 7 to 14 business days |
|---|---|---|
| First item | £ 37.00 | £ 37.00 |
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.