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A Thousand Words for a Picture
Is
the overvaluation of GIS
Christopher
W. Bruce “As geographers crowd into the edges of their maps parts of the world which they do not know about, adding notes in the margin to the effect that beyond this lies nothing but sandy deserts full of wild beasts, dragons, and unapproachable bogs.” --Plutarch, The Life of Theseus |
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| In 1890, just a few months before he committed suicide, an institutionalized Vincent Van Gogh painted a portrait of the provincial French doctor who was treating him, Paul-Ferdinand Gachet. Not long after Picasso’s death, The Portrait of Doctor Gachet sold for $58, which was probably a fair price. On May 15, 1990, Christie’s sold The Portrait of Doctor Gachet at auction for $82.5 million, setting a record for the highest amount of money ever paid for a painting at auction. The buyer was Mr. Ryoei Saito, a Japanese paper manufacturer, and the price was almost three times the estimated value. In 1998, Christie’s purchased the painting back from Mr. Saito for about $10 million, or one-eighth the price he had paid. Saito’s purchase was the zenith of the art overvaluation that permeated auction houses in the late 1980s and early 1990s, cheating a number of less affluent individuals out of artwork that they should have otherwise reasonably been able to afford. In 1997, the United States Justice Department began an investigation into both Christie’s and Sotheby’s, eventually charging that the two auction houses had conspired to fix the commissions that they charged both buyers and sellers, dating back to the early 1990s. It’s a new millennium, a different industry, and a different kind of graphic, but pictures are similarly being overvalued in the crime analysis world, sometimes hampering the efforts of skilled analysts everywhere. A Google® search for the terms “picture is worth a thousand words” and “GIS” returns no less than 240 web pages. It’s been said so often that not only is it a cliché, but it’s a cliché to mention that it’s a cliché. (“It’s a tired cliché, but a picture is worth a thousand words,” says Deena Bowman-Jamieson, information systems analyst for the San Diego Police Department, describing the benefits of GIS in the January/February 2001 edition of Mercator’s World.) The problem with clichés is that no one ever stops to question whether or not they are true, and in the case of crime mapping, it isn’t. A picture of crime isn’t worth a thousand words of qualitative analysis any more than a picture of Dr. Gachet is worth $82.5 million, and thinking so is hurting the profession. Further, crime mapping has the insidious trait of masking issues of data quality and interpretation—issues that were so insistent when viewing tabular data—with the result that it is increasingly becoming a cover sheet; an opaque plotter-printed piece of paper that a Crime Analysis Unit hangs over its front window to hide the chaotic mess inside. |
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When the Tool Supercedes the ProductCrime mapping (defined here as the application of GIS to police data) is comparatively young — little application of it was seen, except in very large or well-funded agencies, until about ten years ago. Keith Harries, in Crime Mapping: Principles & Practice, traces the first use of GIS in crime analysis to the mid-1960s but says that "the breakthrough into widespread GIS-style crime mapping" did not arrive until about 1990. Just seven years after this “breakthrough,” a national center for crime mapping study and training — NIJ's Crime Mapping Research Center (CMRC) — was founded.Crime analysis, in contrast, has existed as a profession for a quarter century, and as a concept for almost 40 years. Its origins are centuries old. Yet the whole of crime analysis has never had a national center for its study and application. Similarly, the National Law Enforcement & Corrections Technology Center has offered a Crime Mapping & Analysis Program (CMAP) since 1998, but no national nonprofit agency offers a straight crime analysis program. Crime analysis does have an international association — appropriately called the International Association of Crime Analysts (IACA) — which receives no government funding other than the dues of its members. The IACA holds a conference in the fall each year; in 1997, the Crime Mapping Research Center began doing the same thing. In 2000, the IACA drew some 157 attendees to its conference; the CMRC conference, held a month later, drew 493 — 172 of whom were employees of police agencies. It’s a telling moment in our profession when a conference dedicated to the use of a particular tool of crime analysis draws so much more attendance than a conference dedicated to the whole of crime analysis; it is comparable to an American Medical Association symposium on electrocardiograms drawing more registrants than the general AMA conference. Other
signs and portents: a list of current job openings maintained by the
International Association of Crime Analysts shows 100% more “GIS
Analyst” positions available than “Crime Analyst” positions, and the
GIS Analysts have an average top salary 37.5 percent higher than the crime
analysts. [Author's note: this was true during the Fall of 2000 and Winter
of 2001; it has not been true since then, which admittedly weakens this
argument.] Analysts are frequently dazzled by current developments in GIS
technology, while other technologies of importance to crime analysis,
including Records Management Systems, remain in the Paleolithic era. These signs point to a growing culture in which crime mapping—a tool of crime analysis—is superceding the analysis itself. One can easily see how this might happen: crime mapping is flashy, fancy, and fun. It looks good on a computer screen and even better printed in 36x44. Training, software, and equipment can cost a lot of money, so a heavy concentration of the analyst’s time on crime mapping justifies the expense. And it’s hard to do—impenetrably hard for the layperson. Anyone can read a stack of crime reports and write a bulletin, but crime mapping—like forecasting—is one of those areas of crime analysis that borders on wizardry.
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Data and AnalysisThe distinction between data and analysis is crucial in this profession, particularly in crime mapping. Data is raw information—a collection of facts in a database, spreadsheet, or on a piece of paper. Analysis is a product of data. It places data in context, signifies it, explains it, and—in our profession—suggests a course of action. Data answers the questions of who, what, when, where, and how. Analysis answers the question of why, and of what it all means. A dangerous thing happened to the profession of crime analysis—as well as to the field of problem-oriented policing at large—when people began thinking of maps as analysis rather than data. Usually, a map is simply data—data that has been rearranged, plotted geographically, and printed in color, but data nonetheless. (Not all crime mapping, of course, is meant to result in a visible product: much of the field involves tools and techniques geared towards manipulating data to answer questions, but the result is still only data until the analyst applies his or her own mind to the data and generates analysis.) (The same thing is true of
statistics. Crime in the United States
is an enormous collection of raw data, with various chapters and sections
mislabeled “analysis.” Many crime “analysis” units produce little
more than raw data on a regular basis. This led us, in 1999, to create the
Fifth Commandment of Crime Analysis: “Thou Shalt Never Present
Statistics (or Maps) by Themselves.”)
To
illustrate these principles—and to prove that a picture certainly
isn’t worth a thousand words—we’ve presented two items, side by
side, below. One is a map; the other is a bit of text. Both concern an
increase in car burglaries over the past two months around a shopping
mall. Look them over and ask yourself which is more valuable to its
intended purpose—the eradication of a crime pattern. (Assume that both
items are completely correct.) |
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Exhibit 1
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The
counter-intuitive, though correct, answer is that Item 2 is more valuable
than item 1. Item 1 is a display of data, in thematic form, on a
map. It is raw data, showing only the numbers of crimes by grid block. It
conveys no information that is not contained, or at least
suggested, in Item 2. And it took 10 minutes to create. Item 2 is analysis. We’re not claiming that it’s good analysis, but it is analysis, and it was written in 15 seconds. It conveys more information than the map, namely:
The map requires interpretation; the text does not. No chief or patrol commander will have to furrow his brow for even a second to comprehend what the text is saying. The map needs to be printed and presented to its audience; the text can be fired off in an e-mail or spoken in the hallway. The text is important; the map is superfluous. If
the analysis presented in item 2 were good analysis, it would
include further information—a description of the most common cars
targeted, means of entry, and property stolen; the most likely time frame
for an incident to occur; suspect descriptions, if any exist; a list of
individuals suspected or arrested for car burglary incidents in this area
in the past, particularly during the holiday season; perhaps a report of
current patrol operations in the area. All of these pieces of information
are incredibly valuable to a police officer or executive trying to
suppress or eliminate a crime pattern, and if the analyst tried to
represent them geographically, it would take at least half a dozen maps,
none of which would be more efficient than plain descriptive text.
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Legitimate Uses for Crime Mapping in Crime AnalysisCrime mapping assists crime analysis in two areas:
As a tool for analyzing information, crime mapping is both overemphasized and underemphasized. Underemphasized because, since its object is not to create a visible product, it’s often “down and dirty” — no pretty colors, no north arrow, no scale bar, no meticulously-crafted layout window. Books and articles meant to entice analysts into using crime mapping rarely show any screen shots of maps used to analyze information because they’re often bare and crude and thus counter-productive to the intent of the author. |
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Exhibit 2
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Crime mapping as an analysis tool is overemphasized because much of the literature assumes that mapping is the best way to analyze particular types of data, when often it is more efficient for the analyst to simply look at numbers. By over-relying on GIS methods, the analyst retards his own ability to scan a series of data and quickly comprehend the information shown. Most thematic maps are a poor replacement for a trained analyst’s own mind and judgment. |
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Exhibit 3
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In this example, the analyst has taken the trouble to create a thematic map that shows pie charts for each sector of the city, indicating the number of burglaries on each shift in that sector. It makes a nice looking map, but ask yourself whether anything is gained by the mapping process. A good analyst should be able to scan the data in tabular form (on the right) and pick out the information he needs much more quickly. Note that both items, again, are merely data, and require further analysis for the crime analyst to justify his title. (Why does Sector 2 have the most burglaries, and what are their characteristics? Why is Sector 5 the only sector with a high percentage of burglaries on the last half?) |
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Patterns can be quickly identified through the use of crime mapping, but only those that are geographically based. Many crime patterns exhibit no geographic similarities and must be found through a careful analysis of the modus operandus. Crime mapping greatly facilitates the identification of geographically based patterns, but it will never be a substitute for a thoughtful, regular review of the agency’s crime reports by a sharp analytical mind. (A review of crime patterns in Cambridge over the summer of 2000 revealed that 34% could not be found through crime mapping — they exhibited no geographic clustering.)
When presenting information, crime maps are best used as a
visual aid to accompany qualitative analysis. A map clarifies
information in ways that text cannot. Officers may have trouble digesting
a bit of text such as, “The pattern is most active in the area bordered
by First Street, Main Street, Fifth Street, and Elm Street,” while a
clear map with the border carefully outlined and the individual crimes
plotted within brings this description to life. A second use for maps as a product is to support the conclusions the analyst has reached. A police executive would not be acting unreasonable if he asked for some material to support an analyst’s recommendation to increase patrol in Sector 2 by 50% during the month of June. Various maps can provide this supporting material and show how the analyst arrived at his analysis of the situation. Again, I emphasize that maps must never be presented alone. Maps are data only, and the analyst is not living up to his name if he does not endeavor to interpret and explain the data. |
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Exhibit 4
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Conclusions
Responsible use of crime mapping in crime analysis requires the adherence to three basic principles:
Crime mapping is a powerful, complicated tool, but power and complexity do not necessarily equate with importance, and many worthless products have issued from powerful, complicated tools. Try to keep some balance in your training, in your work focus, and in your product. At a class I attended recently on crime mapping, an analyst from Fort Myers, Florida, explained a robbery hot spot in words similar to this: "We have a large immigrant population living in that area of town, and a number of check cashing places. The immigrants don't trust banks, so they get their checks cashed at the check cashing stores, then walk home on poorly-lit streets. This creates an attractive robbery situation." Such an analysis is the product of years of experience, research into the dynamic of the jurisdiction, and careful reading of crime reports. In forty-seven words, it describes a crime problem and suggests possible strategies more effectively than any map ever could. If anyone offers this analyst a picture for those forty-seven words, I hope she turns them down flat. Crime Analysts' Round Table, Spring 2001 |
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