Tag Archives: mapping

Mapping Massacres: GIS and State Terror in Guatemala

This is the title of a paper published in Geoforum in 2006 (PDF). Note that the paper was actually submitted in 2003 but the peer-review process appears to have taken 3 years. Ridiculous. I sympathize with the authors and hope they’ve turned to blogging. But the content of their paper is actually what I want to blog about here.

The authors use GIS to visually display the locations of massacres associated with Guatemala’s civil war at the department level and include information on indigenous populations as well as physical geography. They note that “maps have become tools of empowerment in Central America and elsewhere,” and highlight how indigenous groups “have begun to use maps as tools in their fight for land and marine resources, as well as greater political economy.”

It is worth understanding that “among some sectors of Guatemalan society, there is still wholesale denial and rejection of past violent events.” To this end, the purpose of “displaying exactly where violent acts took place is to [...] educate the Guatemalan public regarding the terrible violence of the recent past.” The authors suggest that “knowing the name of a specific town where a massacre took place is more concrete, potentially leading to perception of place and people, rather than simply being aware of violence in the countryside.”

Guatemala massacres

The authors produced the maps above, which clearly show that most massacres were concentrated in landscapes whose majority populations are indigenous. “Massacres were not random events in Guatemala. Instead, they took place in very specific cultural landscapes. “

The following short excerpts very much resonate with my thinking on crisis mapping:

“Even information that is easily comprehensible without maps takes on new meaning when it is portrayed spatially.”

“However, knowing in a general sense where the violence took place is not enough. If we fail to accurately display such information spatially, we fail to fully understand where and especially why these events took place. [...] By using some basic geographic information systems technologies, relationships between ethnicity, location, physical environment, and violence become much clearer.”

“Mapping these tragic events is critical because these maps also serve as another type of memorial for victims and their families. Many Guatemalans have yet to come to grips with the violence of the past. Maps, more so than words can help deconstruct violent events by providing a mental image of a location and event in the onlookers mind.”

The authors have certainly contributed a better spatial understanding of the violence thanks to this study. What is perhaps missing is an equally compelling temporal resolution so that events can be incrementally analyzed over time and space. Doing so may shed more light on the tactics and strategies employed to carry out the violence. These may produce specific patterns or a library of “fingerprints” that could then be used to investigate massacres in other countries.

Patrick Philippe Meier

Doctor Snow’s Health Map Propaganda

Doctor John Snow’s cholera map of 1854 is often heralded as an example of how mapping can illuminate powerful insights on otherwise hidden patterns. Not so, writes Mark Monmonier in his excellent book on “Spying with Maps” which I just reviewed here.

cholera-snow-map

Mark writes the following on John Snow’s famous map:

“If disease mapping has a poster child, it’s John Snow (1813-1858), the London anesthesiologist credited with discovering the water borne transmission of cholera. [...] Snow is best known for his 1854 map showing victims’ homes clustered around Soho’s infamous Broad Street Pump, which he identified as a source of contaminated water. According to epidemiological lore, the good doctor tried unsuccessfully to convince public officials to close down the pump.”

“Undaunted, he too matters in his own hands, removed the pump’s handle, and demonstrated the correctness of his theory when new cases plummeted. Truth be told, the epidemic had already run its course. What’s more, Snow made his famous dot map several months later, for a revised edition of his book on cholera transmission. Even so, his pin map continues to embellish discussions of GIS and disease.”

“Medical geographers, GIS experts, and some epidemiologists perpetuate the Snow myth because it promotes disease mapping as a discovery tool and enhances the stature of their own disciplines. But a careful examination of Snow’s writings indicates that he understood cholera’s mode of transmission well before he made the map.”

“Although Snow was a thoughtful observer, neither his map nor those of his rivals were of any value in generating insightful hypotheses. Snow’s famous cholera map was pure propaganda—and copycat propaganda at that—but proved eminently useful later in the century, when public officials needed convincing arguments to isolate drinking water from sewage.”

Although Mark is rightfully critical of Dr. John Snow’s legendary map, the last sentence above is quite insightful. The map, while unhelpful in knowledge discovery of cholera’s source, did become “eminently useful” to influence public health policy.

Patrick Philippe Meier

Doctor Snow’s Health Map Propaganda

Doctor John Snow’s cholera map of 1854 is often heralded as an example of how mapping can illuminate powerful insights on otherwise hidden patterns. Not so, writes Mark Monmonier in his excellent book on “Spying with Maps” which I just reviewed here.

cholera-snow-map

Mark writes the following on John Snow’s famous map:

“If disease mapping has a poster child, it’s John Snow (1813-1858), the London anesthesiologist credited with discovering the water borne transmission of cholera. [...] Snow is best known for his 1854 map showing victims’ homes clustered around Soho’s infamous Broad Street Pump, which he identified as a source of contaminated water. According to epidemiological lore, the good doctor tried unsuccessfully to convince public officials to close down the pump.”

“Undaunted, he too matters in his own hands, removed the pump’s handle, and demonstrated the correctness of his theory when new cases plummeted. Truth be told, the epidemic had already run its course. What’s more, Snow made his famous dot map several months later, for a revised edition of his book on cholera transmission. Even so, his pin map continues to embellish discussions of GIS and disease.”

“Medical geographers, GIS experts, and some epidemiologists perpetuate the Snow myth because it promotes disease mapping as a discovery tool and enhances the stature of their own disciplines. But a careful examination of Snow’s writings indicates that he understood cholera’s mode of transmission well before he made the map.”

“Although Snow was a thoughtful observer, neither his map nor those of his rivals were of any value in generating insightful hypotheses. Snow’s famous cholera map was pure propaganda—and copycat propaganda at that—but proved eminently useful later in the century, when public officials needed convincing arguments to isolate drinking water from sewage.”

Although Mark is rightfully critical of Dr. John Snow’s legendary map, the last sentence above is quite insightful. The map, while unhelpful in knowledge discovery of cholera’s source, did become “eminently useful” to influence public health policy.

Patrick Philippe Meier

Towards a “Theory” (or analogy) of Crisis Mapping?

The etymology of the word “theory” is particularly interesting. The word originates from the ancient Greek; theoros means “spectator,” from thea “a view” + horan “to see.” In 1638, theory was used to describe “an explanation based on observation and reasoning.” How fitting that the etymologies of “theory” resonate with the purpose of crisis mapping.

But is there a formal theory of crisis mapping per se?  There are little bits and pieces here and there, sprinkled across various disciplines, peer-reviewed journals and conference presentations. But I have yet to come across a “unified theory” of crisis mapping. This may be because the theory (or theories) are implicit and self-evident. Even so, there may be value in rendering the implicit—why we do crisis mapping—more visible.

Crises occur in time and space. Yet our study of crises (and conflict in particular) has generally focused on identifying trends over time rather than over space. Why? Because unlike the field of disaster management, we do not have seismographs scattered around the planet that  precisely pint point the source of escalating social tremors. This means that the bulk of our datasets describe conflict as an event happening in countries and years, not cities and days, let alone towns and hours.

http://history.msfc.nasa.gov

http://history.msfc.nasa.gov

This is starting to change thanks to several factors: political scientists are now painstakingly geo-referencing conflict data (example); natural language processing algorithms are increasingly able to extract time and place data from online media and user-generated content (example);  and innovative crowdsourcing platforms are producing new geo-referenced conflict datasets (example).

In other words, we have access to more disaggregated data, which allows us to study conflict dynamics at a more appropriate scale. By the way, this stands in contrast to the “goal of the modern state [which] is to reduce the chaotic, disorderly, constantly changing social reality beneath it to something more closely resembling the administrative grid of its observations” (1). Instead of Seeing Like a State, crisis mapping corrects the myopic grid to give us The View from Below.

Crises are patterns; by this I mean that crises are not random. Military or militia tactics are not random either. There is a method to the madnes—the fog of war not withstanding. Peace is also a pattern. Crisis mapping gives us the opportunity to detect peace and conflict patterns at a finer temporal and spatial resolution than previously possible; a resolution that more closely reflects reality at the human scale.

Why do scientists increasingly build more sophisticated microscopes? So they can get more micro-level data that might explain patterns at a macro-scale. (I wonder whether this means we’ll get to a point where we cannot reconcile quantum conflict mechanics with the general theory of conflict relativity). But I digress.

Compare analog televisions with today’s high-definition digital televisions. The latter is a closer reflection of reality. Or picture a crystal clear lake on a fine Spring day. You peer over the water and see the pattern of rocks on the bottom of the lake. You also see a perfect reflection of the leaves on the trees by the lake shore. If the wind picks up, however, or if rain begins to fall, the water drops cause ripples (“noise” in the data) that prevent us from seeing the same patterns as clearly. Crisis mapping calms the waters.

Source: http://3.bp.blogspot.com

Source: http://3.bp.blogspot.com

Keeping with the lake analogy, the ripples form certain patterns. Conflict is also the result of ripples in the socio-political fabric. The question is how to dampen or absorb the ripples without causing unintended ripples elsewhere? What kinds of new patterns might we generate to “cancel out” conflict patterns and amplify peaceful patterns? Thinking about patterns and anti-patterns in time and space may be a useful way to describe a theory of crisis mapping.

Source: http://www.latinamericanstudies.org

Source: http://www.latinamericanstudies.org

Some patterns may be more visible or detectable at certain temporal-spatial scales or resolutions than at others. Crisis mapping allows us to vary this scale freely; to see the Nazsca Lines of conflict from another perspective and at different altitudes. In short, crisis mapping allow us to escape the linear, two-dimensional world of Euclidean political science to see patterns that otherwise remain hidden.

In theory then, adding spatial data should improve the accuracy and explanatory power of conflict models. This should provide us with better and more rapid ways detect the patterns behind conflict ripples before they become warring tsunamis. But we need more rigorous and data-driven studies that demonstrate this theory in practice.

This is one theory of crisis mapping. Problem is, I have many others! There’s more to crisis mapping than modeling. In theory, crisis mapping should also provide better decision support, for example. Also, crisis mapping should theoretically be more conducive to tactical early response, not to mention monitoring & evaluation. Why? I’ll ramble on about that some other day. In the meantime, I’d be grateful for feedback on the above.

Patrick Philippe Meier

Towards a “Theory” (or analogy) of Crisis Mapping?

The etymology of the word “theory” is particularly interesting. The word originates from the ancient Greek; theoros means “spectator,” from thea “a view” + horan “to see.” In 1638, theory was used to describe “an explanation based on observation and reasoning.” How fitting that the etymologies of “theory” resonate with the purpose of crisis mapping.

But is there a formal theory of crisis mapping per se?  There are little bits and pieces here and there, sprinkled across various disciplines, peer-reviewed journals and conference presentations. But I have yet to come across a “unified theory” of crisis mapping. This may be because the theory (or theories) are implicit and self-evident. Even so, there may be value in rendering the implicit—why we do crisis mapping—more visible.

Crises occur in time and space. Yet our study of crises (and conflict in particular) has generally focused on identifying trends over time rather than over space. Why? Because unlike the field of disaster management, we do not have seismographs scattered around the planet that  precisely pint point the source of escalating social tremors. This means that the bulk of our datasets describe conflict as an event happening in countries and years, not cities and days, let alone towns and hours.

http://history.msfc.nasa.gov

http://history.msfc.nasa.gov

This is starting to change thanks to several factors: political scientists are now painstakingly geo-referencing conflict data (example); natural language processing algorithms are increasingly able to extract time and place data from online media and user-generated content (example);  and innovative crowdsourcing platforms are producing new geo-referenced conflict datasets (example).

In other words, we have access to more disaggregated data, which allows us to study conflict dynamics at a more appropriate scale. By the way, this stands in contrast to the “goal of the modern state [which] is to reduce the chaotic, disorderly, constantly changing social reality beneath it to something more closely resembling the administrative grid of its observations” (1). Instead of Seeing Like a State, crisis mapping corrects the myopic grid to give us The View from Below.

Crises are patterns; by this I mean that crises are not random. Military or militia tactics are not random either. There is a method to the madnes—the fog of war not withstanding. Peace is also a pattern. Crisis mapping gives us the opportunity to detect peace and conflict patterns at a finer temporal and spatial resolution than previously possible; a resolution that more closely reflects reality at the human scale.

Why do scientists increasingly build more sophisticated microscopes? So they can get more micro-level data that might explain patterns at a macro-scale. (I wonder whether this means we’ll get to a point where we cannot reconcile quantum conflict mechanics with the general theory of conflict relativity). But I digress.

Compare analog televisions with today’s high-definition digital televisions. The latter is a closer reflection of reality. Or picture a crystal clear lake on a fine Spring day. You peer over the water and see the pattern of rocks on the bottom of the lake. You also see a perfect reflection of the leaves on the trees by the lake shore. If the wind picks up, however, or if rain begins to fall, the water drops cause ripples (“noise” in the data) that prevent us from seeing the same patterns as clearly. Crisis mapping calms the waters.

Source: http://3.bp.blogspot.com

Source: http://3.bp.blogspot.com

Keeping with the lake analogy, the ripples form certain patterns. Conflict is also the result of ripples in the socio-political fabric. The question is how to dampen or absorb the ripples without causing unintended ripples elsewhere? What kinds of new patterns might we generate to “cancel out” conflict patterns and amplify peaceful patterns? Thinking about patterns and anti-patterns in time and space may be a useful way to describe a theory of crisis mapping.

Source: http://www.latinamericanstudies.org

Source: http://www.latinamericanstudies.org

Some patterns may be more visible or detectable at certain temporal-spatial scales or resolutions than at others. Crisis mapping allows us to vary this scale freely; to see the Nazsca Lines of conflict from another perspective and at different altitudes. In short, crisis mapping allow us to escape the linear, two-dimensional world of Euclidean political science to see patterns that otherwise remain hidden.

In theory then, adding spatial data should improve the accuracy and explanatory power of conflict models. This should provide us with better and more rapid ways detect the patterns behind conflict ripples before they become warring tsunamis. But we need more rigorous and data-driven studies that demonstrate this theory in practice.

This is one theory of crisis mapping. Problem is, I have many others! There’s more to crisis mapping than modeling. In theory, crisis mapping should also provide better decision support, for example. Also, crisis mapping should theoretically be more conducive to tactical early response, not to mention monitoring & evaluation. Why? I’ll ramble on about that some other day. In the meantime, I’d be grateful for feedback on the above.

Patrick Philippe Meier

Crisis Mapping and Health Geographics

Crisis Mapping is by definition a cross-disciplinary field. Crises can be financial, ecological, humanitarian, etc., but these crises all happen in time and space, and necessarily interact with social networks. We may thus want to learn how different fields such as health, environment, biology, etc., visualize and analyze large complex sets of data to detect and amplify or dampen specific patterns.

We can’t all become specialists in each others’ areas of expertise but we can learn from each other, especially if we share a common language. Like the field of complexity science, Crisis Mapping can provide a common but malleable language, taxonomy and conceptual framework to facilitate the exchange of insights driven by innovative thinking in diverse fields.

This explains why I was excited to come across the International Journal of Health Geographics a few days ago. The Journal is an online and open-access resource. This means new ideas can be shared openly, which is conducive to innovation, just like arXiv.

Two of the Journal’s latest articles caught my interest:

1) An Agent-Based Approach for Modeling Dynamics of Contagious Disease Spread

This study developed a spatially explicit epidemiological model of infectious disease to better understand how contagious diseases spatially diffuse through a network of human contacts. To do this, the authors developed an agent-based model (ABM) that integrates geographic information systems (GIS) to simulate the spatial diffusion. (See my previous post on ABM and crisis mapping).

What is very neat about the authors’ approach is that they chose to draw on georeferenced land use data and census data. In other words, they combined the fomalistic rules of ABM with empirical GIS data. This means that the model can actually be tested and different scenarios can be played out by adding or changing some of the parameters. Could we use this model for conflict contageon?

2) Combining Google Earth and GIS Mapping Technologies in a Dengue Surveillance System

This study overlayed georeferenced epidemiological data on a town in Nicaragua with satellite imagery from Google Earth to enable dengue control specialists to prioritize specific neighborhoods for targetted interventions. The authors used ArcGIS to “accurately identify areas with high indices of mosquito infestation and interpret the spatial relationship of these areas with potential larval development sites such as garbage piles and large pools of standing water.”

Source: http://www.ij-healthgeographics.com

Source: http://www.ij-healthgeographics.com

It’s worth noting that the above Google Earth imagery was not particularly high resolution but the authors were still able to make full use of the imagery.

This approach to mapping for decision-support is particularly relevant for resource-limited settings since. As the authors note, the surveillance project “utilizes readily available technologies that do not rely on Internet access for daily use and can easily be implemented in many developing countries for very little cost.”

While the team had a free copy of ArcGIS thanks to the Global Fund, they plan to consider free and low-cost alternatives such as SaTScan, MapServer and Quantum GIS in the future. (See this post for additional alternatives like GeoCommons). I hope the authors also know about Walking Papers. I’ll email them just in case. Here’s to cross-disciplinary collaboration!

Patrick Philippe Meier


Crisis Mapping for Monitoring & Evaluation

I was pleasantly surprised when local government ministry representatives in the Sudan (specifically Kassala) directly requested training on how to use the UNDP’s Threat and Risk Mapping Analysis (TRMA) platforms to monitor and evaluate their own programs.

Introduction

The use of crisis mapping for monitoring and evaluation (M&E) had cropped up earlier this year in separate conversations with the Open Society Institute (OSI) and MercyCorps. The specific platform in mind was Ushahidi, and the two organizations were interested in exploring the possibility of using the platform to monitor the impact of their funding and/or projects.

As far as I know, however, little to no rigorous research has been done on the use of crisis mapping for M&E. The field of M&E is far more focused on change over time than over space. Clearly, however, post-conflict recovery programs are implemented in both time and space. Furthermore, any conflict sensitivity programming must necessarily take into account spatial factors.

CartaMetrix

The only reference to mapping for M&E that I was able to find online was one paragraph in relation to the Cartametrix 4D map player. Here’s the paragraph (which I have split into to ease legibility) and below a short video demo I created:

“The Cartametrix 4D map player is visually compelling and fun to use, but in terms of tracking results of development and relief programs, it can be much more than a communications/PR tool. Through analyzing impact and results across time and space, the 4D map player also serves as a good program management tool. The map administrator has the opportunity to set quarterly, annual, and life of project indicator targets based on program components, regions, etc.

Tracking increases in results via the 4D map players, gives a program manager a sense of the pace at which targets are being reached (or not). Filtering by types of activities also provides for a quick and easy way to visualize which types of activities are most effectively resulting in achievements toward indicator targets. Of course, depending on the success of the program, an organization may or may not want to make the map (or at least all facets of the map) public. Cartametrix understands this and is able to create internal program management map applications alongside the publicly available map that doesn’t necessarily present all of the available data and analysis tools.”

Mapping Baselines

I expect that it will only be a matter of time until the M&E field recognizes the added value of mapping. Indeed, why not use mapping as a contributing tools in the M&E process, particularly within the context of formative evaluation?

Clearly, mapping can be one contributing tool in the M&E process. To be sure, baseline data can be collected, time-stamped and mapped. Mobile phones further facilitate this spatially decentralized process of information collection. Once baseline data is collected, the organization would map the expected outcomes of the projects they’re rolling out and estimated impact date against this baseline data.

The organization would then implement local development and/or conflict management programs  in certain geographical areas and continue to monitor local tensions by regularly collecting geo-referenced data on the indicators that said projects are set to influence. Again, these trends would be compared to the initial baseline.

These program could then be mapped and data on local tensions animated over time and space. The dynamic mapping would provide an intuitive and compelling way to demonstrate impact (or the lack thereof) in certain geographical areas where the projects were rolled out as compared to other similar areas with no parallel projects. Furthermore, using spatial analysis for M&E could also be a way to carry out a gap analysis and to assess whether resources are being allocated efficiently in more complex environments.

Next Steps

One of my tasks at TRMA is to develop a short document on using crisis mapping for M&E so if anyone has any leads on applied research in this area, I would be much obliged.

Patrick Philippe Meier

Pictures: Community Mapping in Action

I find the pictures below inspiring. In many ways, the action of participatory mapping is where the real added value lies. The pictures are from TRMA and IFAD and IAPAD (Vietnam, Fiji and Kenya for the latter). They depict scenes from the Sudan, Botswana, Kenya, Vietnam, Indonesia, Fiji and the Philippines. What is striking, however, is the lack of women doing the actual mapping in these photographs.

Please send me additional pictures, I’d love to include them, especially of women focus groups and projects from South America. Kindly see my previous post for pictures of social maps.

Updated: Dear All, please accept my apologies, due to copyright issues I’ve had to take the pictures off my blog. I find this both sad and ironic; ironic because the pictures were about participatory activities and yet those who took the pictures (and who are passionate about community mapping) are in fact unwilling to share these inspirational moments with others. In any case, I’ve learned my lesson and be a lot more careful in the future.

Patrick Philippe Meier

MDG Monitor: Combining GIS and Network Analysis

I had some fruitful conversations with colleagues at the UN this week and learned about an interesting initiative called the MDG Monitor. The platform is being developed in collaboration with the Parsons Institute for Information Mapping (PIIM).

Introduction

The purpose of the MDG Monitor is to provide a dynamic and interactive mapping platform to visualize complex data and systems relevant to the Millennium Development Goals (MDGs). The team is particularly interested in having the MDG Monitor facilitate the visualization of linkages, connections and relationships between the MDGs and underlying indicators: “We want to understand how complex systems work.”

G8-MDG-logosThe icons above represent the 8 development goals.

The MDG Monitor is thus designed to be a “one-stop-shop for information on progress towards the MDGs, globally and at the country level.” The platform is for “policymakers, development practitioners, journalists, students and others interested in learning about the Goals and tracking progress toward them.”

The platform is under development but I saw a series of compelling mock-ups and very much look forward to testing the user-interface when the tool becomes public. I was particularly pleased to learn about the team’s interest in visualizing both “high frequency” and “low frequency” data. The former being rapidly changing data versus the latter slow change data.

In addition, the platform will allow users to drill down below the country admin level and overlay multiple layers. As one colleague mentioned, “We want to provide policy makers with the equivalent of a magnifying glass.”

Network Analysis

Perhaps most impressive but challenging is the team’s interest in combining spatial analysis with social networking analysis (SNA). For example, visualizing data or projects based on their geographic relationships but also on their functional relationships. I worked on a similar project at the Santa Fe Institute (SFI) back in 2006, when colleagues and I developed an Agent Based Model  (ABM) to simulate internal displacement of ethnic groups following a crisis.

abmSFI

Agent Based Model of Crisis Displacement

As the screenshot above depicts, we were interested in understanding how groups would move based on their geographical and ethnic or social ties. In any case, if the MDG Monitor team can combine the two types of dynamic maps, this will certainly be a notable advance in the field of crisis mapping.

Patrick Philippe Meier

Is Crime Mapping the Future of Crisis Mapping?

My new fascination is crime mapping.

The field of crisis mapping may still in its infancy, but crime mapping, relatively speaking, is a mature science. I have no doubt that many of the best practices, methods and software platforms developed for crime mapping are applicable to crisis mapping. This is why I plan to spend the next few months trying to get up to speed on crime mapping. If you’re interested in learning more about crime mapping, here’s how I’m getting up to speed.

First, I’m following the CrimeReports blog and Twitter feed.

Second, I got in touch with Professor Timothy Hart who is co-editor of the peer-reviewed journal Crime Mapping for some guidance. He suggested that a good place to start is with the primary criminology theory, from which many of the ideas found in the field of crime mapping grew.

To this end, Tim kindly recommended the following book:

In terms of the applied side of crime mapping, Tim recommended this book to gain a better understanding of theory in practice:

Third, I’ve registered to attend the 10th Crime Mapping Research Conference being held in New Orleans this August. And to think that I’m just co-organizing the first International Conference on Crisis Mapping, ICCM 2009. Yes, we’re 10 years behind. Just have a look at a sample of the presentations lined up:

  • The Spatial Dependency of Crime Dispersion.
  • A Time Geographic Approach to Crime Mapping.
  • Space-time Hotspots and their Prediction Accuracy.
  • Using Cluster Analysis to Identify Gang Mobility Patterns.
  • Defining Hotspots: Adding an Explanatory Power to Hotspot Mapping.
  • Application of Spatial Scan Statistic Methods to Crime Hot Spot Analysis.
  • Applying Key Spatial Theories to Understand Maps and Preventing Crime.
  • Using a Spatial Video to Capture Dynamically Changing Crime Geographies.

Fourth, I’m keeping track of news articles that refer to crime mapping, like the Wall Street Journal’s recent piece entitled “New Program Put Crime Stats on the Map.” According to the article,

Police say they use the sites to help change citizens’ behavior toward crime and encourage dialogue with communities so that more people might offer tips or leads. Some of the sites have crime-report blogs that examine activity in different locales. They also allow residents to offer tips and report crimes under way.

Is crime mapping the future of crisis mapping? Regardless of the answer, we have a lot to learn from our colleagues in the field of crime mapping as I plan to demonstrate in future blog posts. In the meantime, I hope that donors in the humanitarian and human rights communities realize that tremendous potential of crisis mapping given the value of added of maps for crime analysis.

Patrick Philippe Meier